Package: r-doc-pdf
Priority: optional
Section: doc
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
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Description: GNU R pdf manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in pdf format. The sibling packages
 r-doc-html and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 968
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
Version: 2.12.1-1hardy1hardy3
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Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-doc-html
Priority: optional
Section: doc
Installed-Size: 2440
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: r-base
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Description: GNU R html manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in html format. The sibling packages
 r-doc-pdf and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 968
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
Version: 2.12.1-1hardy
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Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-cran-kernsmooth
Priority: optional
Section: gnu-r
Installed-Size: 244
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Version: 2.23-5-1hardy0
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Description: GNU R package for kernel smoothing and density estimation
 This package provides functions for kernel smoothing and density estimation
 corresponding to M.P. Wand and M.C. Jones, "Kernel Smoothing", 1995.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL: http://www.maths.unsw.edu.au/~wand

Package: r-mathlib
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
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Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-base-core
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Recommends: r-base-dev, r-doc-html, r-recommended
Suggests: ess, r-base-html, r-doc-info | r-doc-pdf, r-mathlib
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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over two thousand extension "packages" are available
 from CRAN, the Comprehensive R Archive Network, many also as Debian
 packages, named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

Package: r-recommended
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Section: gnu-r
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Description: GNU R collection of recommended packages [metapackage]
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This Debian package is now a metapackage that depends on a set of
 packages that are recommended by the upstream R core team as part of a
 complete R distribution, and distributed along with the source of R
 itself, as well as directly via the CRAN network of mirrors. This set
 comprises the following packages (listed in their upstream names):
  - KernSmooth: Functions for kernel smoothing for Wand & Jones (1995)
  - Matrix: Classes and methods for dense and sparse matrices and
    operations on them using Lapack and SuiteSparse
  - MASS, class, nnet and spatial: packages from Venables and Ripley,
    `Modern Applied Statistics with S' (4th edition).
  - boot: Bootstrap R (S-Plus) Functions from the book "Bootstrap Methods
    and Their Applications" by A.C. Davison and D.V. Hinkley (1997).
  - cluster: Functions for clustering (by Rousseeuw et al.)
  - codetools: Code analysis tools for R
  - foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, ...
  - lattice: Implementation of Trellis (R) graphics
  - mgcv: Multiple smoothing parameter estimation and GAMs by GCV
  - nlme: Linear and nonlinear mixed effects models
  - rpart: Recursive partitioning and regression trees
  - survival: Survival analysis, including penalised likelihood.
Homepage: http://www.r-project.org/

Package: r-cran-survival
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Section: gnu-r
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Description: GNU R package for survival analysis
 This package provides functions and datasets for survival analysis:
 descriptive statistics, two-sample tests, parametric accelerated failure
 models, Cox model. Delayed entry (truncation) is allowed for all models;
 interval censoring for parametric models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

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Section: gnu-r
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Description: GNU R package for ODBC database access
 This CRAN package provides access to any Open DataBase Connectivity (ODBC)
 accessible database.
 .
 The package should be platform independent and provide access to any
 database for which a driver exists.  It has been tested with MySQL
 and PostgreSQL on both Linux and Windows (and to those DBMSs on Linux
 hosts from R under Windows), Microsoft Access, SQL Server and Excel
 spreadsheets (read-only), and users have reported success with
 connections to Oracle and DBase.
 .
 Usage is covered in the R Data Import/Export manual (available via the
 r-doc-pdf, r-doc-html and r-doc-info packages).

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 1276
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.13.0-1hardy0
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SHA256: c74a6ae10f3a321d662502d4e18d62a0e7913d40110ccf21170de8eba19e3991
Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-base-core
Priority: optional
Section: gnu-r
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Recommends: r-base-dev, r-doc-html, r-recommended
Suggests: ess, r-base-html, r-doc-info | r-doc-pdf, r-mathlib
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SHA256: d3749783f6d2b7dabd2595578af447d6c80edff48f335d9c4ce20261706fec87
Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over two thousand extension "packages" are available
 from CRAN, the Comprehensive R Archive Network, many also as Debian
 packages, named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

Package: r-cran-cluster
Priority: optional
Section: gnu-r
Installed-Size: 576
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: cluster
Version: 1.14.2-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.1.3), libgfortran2 (>= 4.2.1), r-base-core (>= 2.14.1)
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Description: GNU R package for cluster analysis by Rousseeuw et al
 This package provides functions and datasets for cluster analysis originally
 written by Peter Rousseeuw, Anja Struyf and Mia Hubert.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-survival
Priority: optional
Section: gnu-r
Installed-Size: 2524
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: survival
Version: 2.36-4-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.1.3), r-base-core (>= 2.12.1)
Filename: hardy/r-cran-survival_2.36-4-1hardy0_i386.deb
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SHA256: a8818e4026480772957cb6e4e20a8b3310602c4388e7a00382667221769163c6
Description: GNU R package for survival analysis
 This package provides functions and datasets for survival analysis:
 descriptive statistics, two-sample tests, parametric accelerated failure
 models, Cox model. Delayed entry (truncation) is allowed for all models;
 interval censoring for parametric models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-base-core-dbg
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Section: debug
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.12.2-1hardy0
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Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-cran-rpart
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: rpart
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Replaces: r-recommended (<< 1.9.0)
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Size: 158256
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Description: GNU R package for recursive partitioning and regression trees
 This package provides functions to recursive partioning and regression trees.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL (of the S-Plus original): http://www.mayo.edu/hsr/Sfunc.html

Package: r-base-core
Priority: optional
Section: gnu-r
Installed-Size: 28664
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
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Recommends: r-base-dev, r-doc-html, r-recommended
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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over two thousand extension "packages" are available
 from CRAN, the Comprehensive R Archive Network, many also as Debian
 packages, named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

Package: r-doc-html
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
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Replaces: r-base (<= 1.4.1-1)
Suggests: mozilla | www-browser, r-base-core
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Description: GNU R html manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in html format. The sibling packages
 r-doc-pdf and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: r-base
Priority: optional
Section: gnu-r
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Architecture: all
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Description: GNU R statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package is a metapackage which eases the transition from the
 pre-1.5.0 package setup with its larger r-base package. Once installed, it
 can be safely removed and apt-get will automatically upgrade its components
 during future upgrades.  Providing this package gives a way to users to
 then only install r-base-core if they so desire.
Homepage: http://www.r-project.org/

Package: r-recommended
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Description: GNU R collection of recommended packages [metapackage]
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This Debian package is now a metapackage that depends on a set of
 packages that are recommended by the upstream R core team as part of a
 complete R distribution, and distributed along with the source of R
 itself, as well as directly via the CRAN network of mirrors. This set
 comprises the following packages (listed in their upstream names):
  - KernSmooth: Functions for kernel smoothing for Wand & Jones (1995)
  - Matrix: Classes and methods for dense and sparse matrices and
    operations on them using Lapack and SuiteSparse
  - MASS, class, nnet and spatial: packages from Venables and Ripley,
    `Modern Applied Statistics with S' (4th edition).
  - boot: Bootstrap R (S-Plus) Functions from the book "Bootstrap Methods
    and Their Applications" by A.C. Davison and D.V. Hinkley (1997).
  - cluster: Functions for clustering (by Rousseeuw et al.)
  - codetools: Code analysis tools for R
  - foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, ...
  - lattice: Implementation of Trellis (R) graphics
  - mgcv: Multiple smoothing parameter estimation and GAMs by GCV
  - nlme: Linear and nonlinear mixed effects models
  - rpart: Recursive partitioning and regression trees
  - survival: Survival analysis, including penalised likelihood.
Homepage: http://www.r-project.org/

Package: r-base-core
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Recommends: r-base-dev, r-doc-html, r-recommended
Suggests: ess, r-base-html, r-doc-info | r-doc-pdf, r-mathlib
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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over two thousand extension "packages" are available
 from CRAN, the Comprehensive R Archive Network, many also as Debian
 packages, named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

Package: r-cran-mgcv
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: mgcv
Version: 1.7-4-1hardy0
Replaces: r-recommended (<< 1.9.0)
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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-doc-info
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Section: doc
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Replaces: r-base (<= 1.4.1-1)
Depends: dpkg | install-info
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Description: GNU R info manuals statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in info format. The sibling packages
 r-doc-html and r-doc-pdf provide the same manuals.
Homepage: http://www.r-project.org/

Package: r-base-dev
Priority: optional
Section: gnu-r
Installed-Size: 36
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.13.0-2hardy0
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Suggests: debhelper
Filename: hardy/r-base-dev_2.13.0-2hardy0_all.deb
Size: 3496
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SHA256: ef9764a2de9d68e8f94527ffc1fd09193ad52b3293a891d65e7120e18c8e412c
Description: GNU R installation of auxiliary GNU R packages
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package ensures that other Debian packages needed for installation of
 some auxiliary R packages are installed.
Homepage: http://www.r-project.org/

Package: r-recommended
Priority: optional
Section: gnu-r
Installed-Size: 48
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.12.1-1hardy1
Depends: r-base-core (>= 2.12.1-1hardy1), r-cran-boot (>= 1.2.19), r-cran-class, r-cran-cluster (>= 1.9.6-2), r-cran-codetools, r-cran-foreign (>= 0.7-2), r-cran-kernsmooth (>= 2.2.14), r-cran-lattice (>= 0.10.11), r-cran-mass, r-cran-matrix, r-cran-mgcv (>= 1.1.5), r-cran-nlme (>= 3.1.52), r-cran-nnet, r-cran-rpart (>= 3.1.20), r-cran-spatial, r-cran-survival (>= 2.13.2-1)
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Size: 2694
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Description: GNU R collection of recommended packages [metapackage]
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This Debian package is now a metapackage that depends on a set of
 packages that are recommended by the upstream R core team as part of a
 complete R distribution, and distributed along with the source of R
 itself, as well as directly via the CRAN network of mirrors. This set
 comprises the following packages (listed in their upstream names):
  - KernSmooth: Functions for kernel smoothing for Wand & Jones (1995)
  - Matrix: Classes and methods for dense and sparse matrices and
    operations on them using Lapack and SuiteSparse
  - MASS, class, nnet and spatial: packages from Venables and Ripley,
    `Modern Applied Statistics with S' (4th edition).
  - boot: Bootstrap R (S-Plus) Functions from the book "Bootstrap Methods
    and Their Applications" by A.C. Davison and D.V. Hinkley (1997).
  - cluster: Functions for clustering (by Rousseeuw et al.)
  - codetools: Code analysis tools for R
  - foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, ...
  - lattice: Implementation of Trellis (R) graphics
  - mgcv: Multiple smoothing parameter estimation and GAMs by GCV
  - nlme: Linear and nonlinear mixed effects models
  - rpart: Recursive partitioning and regression trees
  - survival: Survival analysis, including penalised likelihood.
Homepage: http://www.r-project.org/

Package: r-base-dev
Priority: optional
Section: gnu-r
Installed-Size: 36
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
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Suggests: debhelper, texi2html, texinfo, texlive-base, texlive-extra-utils, texlive-fonts-extra, texlive-fonts-recommended, texlive-generic-recommended, texlive-latex-base, texlive-latex-extra, texlive-latex-recommended
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Description: GNU R installation of auxiliary GNU R packages
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package ensures that other Debian packages needed for installation of
 some auxiliary R packages are installed.
Homepage: http://www.r-project.org/

Package: r-base-core-dbg
Priority: extra
Section: debug
Installed-Size: 9684
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.13.2-1hardy0
Depends: r-base-core (= 2.13.2-1hardy0), r-base-dev (= 2.13.2-1hardy0)
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Size: 2786506
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Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-base-core-dbg
Priority: extra
Section: debug
Installed-Size: 6648
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
Version: 2.13.2-1hardy0
Depends: r-base-core (= 2.13.2-1hardy0), r-base-dev (= 2.13.2-1hardy0)
Filename: hardy/r-base-core-dbg_2.13.2-1hardy0_i386.deb
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MD5sum: 4b8d92867901cbed2b17eb24207cae9a
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Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-base
Priority: optional
Section: gnu-r
Installed-Size: 80
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Version: 2.12.1-1hardy
Depends: r-base-core (>= 2.12.1-1hardy), r-recommended (= 2.12.1-1hardy)
Recommends: r-base-html, r-doc-html
Suggests: ess, r-doc-info | r-doc-pdf
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Size: 35034
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Description: GNU R statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package is a metapackage which eases the transition from the
 pre-1.5.0 package setup with its larger r-base package. Once installed, it
 can be safely removed and apt-get will automatically upgrade its components
 during future upgrades.  Providing this package gives a way to users to
 then only install r-base-core if they so desire.
Homepage: http://www.r-project.org/

Package: r-base-html
Priority: extra
Section: doc
Installed-Size: 664
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.14.1-1hardy0
Replaces: r-base (<= 1.4.1-1), r-recommended (<< 1.9.0)
Depends: r-base-core
Suggests: mozilla | www-browser, r-doc-html
Filename: hardy/r-base-html_2.14.1-1hardy0_all.deb
Size: 90406
MD5sum: 91bd48baa71c7b18198b8558f8937fb3
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Description: GNU R html docs for statistical computing system functions
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides html documentation suitable for browsing with a
 web-browser for the libraries included in the r-base package. It is not
 a required package as the same documentation is already included for
 on-line browsing.
Homepage: http://www.r-project.org/

Package: r-doc-info
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Section: doc
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.14.1-1hardy0
Replaces: r-base (<= 1.4.1-1)
Depends: dpkg | install-info
Suggests: info (>= 3.12) | info-browser, r-base-core
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Description: GNU R info manuals statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in info format. The sibling packages
 r-doc-html and r-doc-pdf provide the same manuals.
Homepage: http://www.r-project.org/

Package: r-doc-html
Priority: optional
Section: doc
Installed-Size: 2436
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: r-base
Version: 2.13.1-1hardy0
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Suggests: mozilla | www-browser, r-base-core
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Description: GNU R html manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in html format. The sibling packages
 r-doc-pdf and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: r-cran-rpart
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Section: gnu-r
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Description: GNU R package for recursive partitioning and regression trees
 This package provides functions to recursive partioning and regression trees.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL (of the S-Plus original): http://www.mayo.edu/hsr/Sfunc.html

Package: r-mathlib
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Source: r-base
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Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-cran-survival
Priority: optional
Section: gnu-r
Installed-Size: 2524
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: survival
Version: 2.36-3-1hardy0
Replaces: r-recommended (<< 1.9.0)
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Description: GNU R package for survival analysis
 This package provides functions and datasets for survival analysis:
 descriptive statistics, two-sample tests, parametric accelerated failure
 models, Cox model. Delayed entry (truncation) is allowed for all models;
 interval censoring for parametric models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-matrix
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Source: rmatrix
Version: 0.999375-47-1hardy0
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Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-cran-lattice
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Section: gnu-r
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Description: GNU R package for 'Trellis' graphics
 This package provides functions for 'Trellis' graphics -- a framework
 for data visualization developed at the Bell Labs by Rick Becker, Bill
 Cleveland et al, extending ideas presented in Bill Cleveland's 1993 book
 'Visualizing Data'.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-mass
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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MD5sum: e48afd5b666c2098aacddebe3637abce
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SHA256: d1a5161665b565a8a3216ba818a922b350af98cfaa07291abb0724c4a3fdbcb2
Description: GNU R package of Venables and Ripley's MASS
 The MASS package provides functions and datasets to support the book
 'Modern Applied Statistics with S' (4th edition) by W.N. Venables and
 B.D. Ripley. The following URL provides more details about the book:
 URL: http://www.stats.ox.ac.uk/pub/MASS4
Homepage: http://cran.r-project.org/web/packages/MASS/index.html

Package: r-cran-survival
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Section: gnu-r
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Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.2.5), r-base-core (>= 2.13.2)
Filename: hardy/r-cran-survival_2.36-10-1hardy0_amd64.deb
Size: 2435814
MD5sum: 55f6bd3afbe27a687b915111f5338e34
SHA1: 90cb5866d54cef45a5e535247a5eec776dc2e995
SHA256: 2a84bb9c05eef64a5e87b73cc2f91cdc82b23884db0e3bcf6de5e2e1a564eafb
Description: GNU R package for survival analysis
 This package provides functions and datasets for survival analysis:
 descriptive statistics, two-sample tests, parametric accelerated failure
 models, Cox model. Delayed entry (truncation) is allowed for all models;
 interval censoring for parametric models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-codetools
Priority: optional
Section: gnu-r
Installed-Size: 164
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: codetools
Version: 0.2-8-1hardy0
Depends: r-base-core (>= 2.12.1)
Filename: hardy/r-cran-codetools_0.2-8-1hardy0_all.deb
Size: 43188
MD5sum: a804f160d564ef5306b01fb7641e8fa4
SHA1: 4efed6c10e694eaded17720a71c3dcaf864b265b
SHA256: fa77fe6bda21136a27df64a355d373ccf1f7c4697762950f3d378d5f977cb328
Description: GNU R package providing code analysis tools
 This package provides functions for code analysis for R.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-doc-pdf
Priority: optional
Section: doc
Installed-Size: 8428
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Filename: hardy/r-doc-pdf_2.13.0-1hardy0_all.deb
Size: 7393030
MD5sum: 763a8672d2c0c7bc2111d772f428ecdf
SHA1: 0f4ae5b29b3fc25956aa72f964c0c7c267854dfe
SHA256: 11fd807b6a406705f8a383287d63e137506193d6bfe19b40dc96c4ba6af878e4
Description: GNU R pdf manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in pdf format. The sibling packages
 r-doc-html and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: r-base-core-dbg
Priority: extra
Section: debug
Installed-Size: 6636
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
Version: 2.13.0-1hardy0
Depends: r-base-core (= 2.13.0-1hardy0), r-base-dev (= 2.13.0-1hardy0)
Filename: hardy/r-base-core-dbg_2.13.0-1hardy0_i386.deb
Size: 2540420
MD5sum: 45fed6d74f719416021a98ba5c66daf7
SHA1: c4303fc09feea26e311085ee610a5e07e81039c1
SHA256: 3b6645a85daad7455b18c467dc47375181f7be624f6d5edf1e4c608c70fd6135
Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-base-core-dbg
Priority: extra
Section: debug
Installed-Size: 9680
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.13.1-1hardy0
Depends: r-base-core (= 2.13.1-1hardy0), r-base-dev (= 2.13.1-1hardy0)
Filename: hardy/r-base-core-dbg_2.13.1-1hardy0_amd64.deb
Size: 2788724
MD5sum: 71c6c576c5b61151b5c9986450e57396
SHA1: 25d1378243576e421acaddb41725f962f8780c89
SHA256: 00ab7f8c0eba9285d5f8367f8bfd992ec21c5e1d3f714c1b4e000f1b85989e44
Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-base-core
Priority: optional
Section: gnu-r
Installed-Size: 29200
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.13.1-1hardy2
Replaces: r-base (<= 1.4.1-1), r-base-latex (<= 2.9.2-4), r-cran-rcompgen (<= 0.1-17-1), r-gnome (<= 2.3.1), r-recommended (<< 1.9.0)
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Recommends: r-base-dev, r-doc-html, r-recommended
Suggests: ess, r-base-html, r-doc-info | r-doc-pdf, r-mathlib
Conflicts: r-base-latex, r-cran-rcompgen, r-gnome
Filename: hardy/r-base-core_2.13.1-1hardy2_amd64.deb
Size: 15016906
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SHA256: cfa8b751f066895aea57a959009456c55c93b018b624265ede4bca15aac4ded1
Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over two thousand extension "packages" are available
 from CRAN, the Comprehensive R Archive Network, many also as Debian
 packages, named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

Package: r-base-html
Priority: extra
Section: doc
Installed-Size: 664
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.14.0-1hardy0
Replaces: r-base (<= 1.4.1-1), r-recommended (<< 1.9.0)
Depends: r-base-core
Suggests: mozilla | www-browser, r-doc-html
Filename: hardy/r-base-html_2.14.0-1hardy0_all.deb
Size: 90370
MD5sum: 6e381a8ee741faccd1aeadb9f45e1341
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Description: GNU R html docs for statistical computing system functions
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides html documentation suitable for browsing with a
 web-browser for the libraries included in the r-base package. It is not
 a required package as the same documentation is already included for
 on-line browsing.
Homepage: http://www.r-project.org/

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 1264
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.12.1-1hardy1hardy3
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Size: 612670
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Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-base-dev
Priority: optional
Section: gnu-r
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Suggests: cdbs, debhelper
Filename: hardy/r-base-dev_2.12.1-1hardy4_all.deb
Size: 3504
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SHA256: 0dd1360f54f879418ae742cccdb92f212d372b120f243d89010c687e77bd98cf
Description: GNU R installation of auxiliary GNU R packages
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package ensures that other Debian packages needed for installation of
 some auxiliary R packages are installed.
Homepage: http://www.r-project.org/

Package: r-cran-matrix
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: rmatrix
Version: 0.999375-48-1hardy0
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Filename: hardy/r-cran-matrix_0.999375-48-1hardy0_amd64.deb
Size: 2914288
MD5sum: edca2e81b154c225e55ce8abcd561093
SHA1: 78407ca960f3e5ead978e24983cbb0b51ef1f4be
SHA256: 6a22cf50e24f4b87eed581f6f892ffee56d24cc9155823765cfa5c2c1fe4bf5f
Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-doc-info
Priority: optional
Section: doc
Installed-Size: 612
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.13.1-1hardy0
Replaces: r-base (<= 1.4.1-1)
Depends: dpkg | install-info
Suggests: info (>= 3.12) | info-browser, r-base-core
Filename: hardy/r-doc-info_2.13.1-1hardy0_all.deb
Size: 530262
MD5sum: cb66964a68afdb6b28680f5c2757cda1
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SHA256: 6cdeccdeac26f277eb8c0d765a63f481c7a52813633d37970236b93e0aced8f2
Description: GNU R info manuals statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in info format. The sibling packages
 r-doc-html and r-doc-pdf provide the same manuals.
Homepage: http://www.r-project.org/

Package: r-base
Priority: optional
Section: gnu-r
Installed-Size: 84
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Version: 2.14.0-1hardy0
Depends: r-base-core (>= 2.14.0-1hardy0), r-recommended (= 2.14.0-1hardy0)
Recommends: r-base-html, r-doc-html
Suggests: ess, r-doc-info | r-doc-pdf
Filename: hardy/r-base_2.14.0-1hardy0_all.deb
Size: 36264
MD5sum: 1d9f5601c1717adcc79e7f4eaff95b80
SHA1: 4761d364f57ab4844260b765b2a56d6c789e6e09
SHA256: ece9fbb2ac04c20f1d92ab6bf4466e93328767fb06cfec28edeb6b946eabab6c
Description: GNU R statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package is a metapackage which eases the transition from the
 pre-1.5.0 package setup with its larger r-base package. Once installed, it
 can be safely removed and apt-get will automatically upgrade its components
 during future upgrades.  Providing this package gives a way to users to
 then only install r-base-core if they so desire.
Homepage: http://www.r-project.org/

Package: r-cran-nlme
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: nlme
Version: 3.1.100-1hardy0
Replaces: r-recommended (<< 1.9.0)
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Size: 1587266
MD5sum: d50c050510b9f77061390df797d75e27
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SHA256: 84a9f5f1985baee7cfb98dd3bc70c5ed68e79a4a1981a1278158033493ca4826
Description: GNU R package for (non-)linear mixed effects models
 This package provides functions to fit and compare linear and non-linear
 mixed-effects models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-matrix
Priority: optional
Section: gnu-r
Installed-Size: 4364
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rmatrix
Version: 1.0-0-1hardy0
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.7), libgfortran2 (>= 4.2.1), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 2.13.2), r-cran-lattice (>= 0.12-11.1)
Filename: hardy/r-cran-matrix_1.0-0-1hardy0_amd64.deb
Size: 2971532
MD5sum: 517ccb32f80252c4d0dc44fc2dbfb415
SHA1: b3f490d153fe94648d9b53c98b5c082992ad35e2
SHA256: e89985fa0b37d1927e8e3a0e1bc46905f1e0d43393178cc68d9c61e740186730
Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-cran-survival
Priority: optional
Section: gnu-r
Installed-Size: 3160
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: survival
Version: 2.36-2-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.1.3), r-base-core (>= 2.12.0)
Filename: hardy/r-cran-survival_2.36-2-1hardy0_i386.deb
Size: 2567028
MD5sum: ae1d1174aa100a500b91c3d55934450d
SHA1: 45649c69ae734ad9bc82c904ef4e89bec17bca11
SHA256: 088c51590e8e02e2a7297bf96e431f167eef697b8e961cc652e48e28dd0a4f45
Description: GNU R package for survival analysis
 This package provides functions and datasets for survival analysis:
 descriptive statistics, two-sample tests, parametric accelerated failure
 models, Cox model. Delayed entry (truncation) is allowed for all models;
 interval censoring for parametric models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-base
Priority: optional
Section: gnu-r
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Description: GNU R statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package is a metapackage which eases the transition from the
 pre-1.5.0 package setup with its larger r-base package. Once installed, it
 can be safely removed and apt-get will automatically upgrade its components
 during future upgrades.  Providing this package gives a way to users to
 then only install r-base-core if they so desire.
Homepage: http://www.r-project.org/

Package: r-cran-lattice
Priority: optional
Section: gnu-r
Installed-Size: 940
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: lattice
Version: 0.19-17-1hardy0
Replaces: r-recommended (<< 1.9.0)
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Description: GNU R package for 'Trellis' graphics
 This package provides functions for 'Trellis' graphics -- a framework
 for data visualization developed at the Bell Labs by Rick Becker, Bill
 Cleveland et al, extending ideas presented in Bill Cleveland's 1993 book
 'Visualizing Data'.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-foreign
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Replaces: r-recommended (<< 1.9.0)
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Description: GNU R package to read/write data from other stat. systems
 This package provides functions for reading and writing data stored by
 statistical packages such as Minitab, S, SAS, SPSS, Stata, ...
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-matrix
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: rmatrix
Version: 1.0-2-1hardy0
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Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-cran-survival
Priority: optional
Section: gnu-r
Installed-Size: 2752
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: survival
Version: 2.36-9-1hardy0
Replaces: r-recommended (<< 1.9.0)
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Description: GNU R package for survival analysis
 This package provides functions and datasets for survival analysis:
 descriptive statistics, two-sample tests, parametric accelerated failure
 models, Cox model. Delayed entry (truncation) is allowed for all models;
 interval censoring for parametric models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-base-core
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Version: 2.14.0-1hardy0
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Recommends: r-base-dev, r-doc-html, r-recommended
Suggests: ess, r-base-html, r-doc-info | r-doc-pdf, r-mathlib
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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over two thousand extension "packages" are available
 from CRAN, the Comprehensive R Archive Network, many also as Debian
 packages, named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

Package: r-doc-html
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Section: doc
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.12.1-1hardy1
Replaces: r-base (<= 1.4.1-1)
Suggests: mozilla | www-browser, r-base-core
Filename: hardy/r-doc-html_2.12.1-1hardy1_all.deb
Size: 595646
MD5sum: be5a844596130b259c464a8df1cdc16f
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Description: GNU R html manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in html format. The sibling packages
 r-doc-pdf and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: r-base-core-dbg
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Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-mathlib
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: r-base
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Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-cran-cluster
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: cluster
Version: 1.13.3-1hardy0
Replaces: r-recommended (<< 1.9.0)
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Description: GNU R package for cluster analysis by Rousseeuw et al
 This package provides functions and datasets for cluster analysis originally
 written by Peter Rousseeuw, Anja Struyf and Mia Hubert.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-matrix
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Section: gnu-r
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Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-cran-nlme
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Section: gnu-r
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Description: GNU R package for (non-)linear mixed effects models
 This package provides functions to fit and compare linear and non-linear
 mixed-effects models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-mgcv
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Section: gnu-r
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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-mgcv
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Section: gnu-r
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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-mgcv
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Section: gnu-r
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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
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Package: r-cran-matrix
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Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-mathlib
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Section: gnu-r
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Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-recommended
Priority: optional
Section: gnu-r
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Description: GNU R collection of recommended packages [metapackage]
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This Debian package is now a metapackage that depends on a set of
 packages that are recommended by the upstream R core team as part of a
 complete R distribution, and distributed along with the source of R
 itself, as well as directly via the CRAN network of mirrors. This set
 comprises the following packages (listed in their upstream names):
  - KernSmooth: Functions for kernel smoothing for Wand & Jones (1995)
  - Matrix: Classes and methods for dense and sparse matrices and
    operations on them using Lapack and SuiteSparse
  - MASS, class, nnet and spatial: packages from Venables and Ripley,
    `Modern Applied Statistics with S' (4th edition).
  - boot: Bootstrap R (S-Plus) Functions from the book "Bootstrap Methods
    and Their Applications" by A.C. Davison and D.V. Hinkley (1997).
  - cluster: Functions for clustering (by Rousseeuw et al.)
  - codetools: Code analysis tools for R
  - foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, ...
  - lattice: Implementation of Trellis (R) graphics
  - mgcv: Multiple smoothing parameter estimation and GAMs by GCV
  - nlme: Linear and nonlinear mixed effects models
  - rpart: Recursive partitioning and regression trees
  - survival: Survival analysis, including penalised likelihood.
Homepage: http://www.r-project.org/

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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

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Section: gnu-r
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Description: GNU R package for feed-forward neural networks
 Software for feed-forward neural networks with a single
 hidden layer, and for multinomial log-linear models
Homepage: http://cran.r-project.org/web/packages/nnet/index.html

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Description: GNU R package of classes for dense and sparse matrices
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 code from the Metis package of partitioning algorithms.

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Description: GNU R html manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in html format. The sibling packages
 r-doc-pdf and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: r-cran-survival
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Section: gnu-r
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Description: GNU R package for survival analysis
 This package provides functions and datasets for survival analysis:
 descriptive statistics, two-sample tests, parametric accelerated failure
 models, Cox model. Delayed entry (truncation) is allowed for all models;
 interval censoring for parametric models.
 .
 This package is part of the set of packages that are 'recommended'
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Package: r-cran-kernsmooth
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Description: GNU R package for kernel smoothing and density estimation
 This package provides functions for kernel smoothing and density estimation
 corresponding to M.P. Wand and M.C. Jones, "Kernel Smoothing", 1995.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL: http://www.maths.unsw.edu.au/~wand

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Description: GNU R info manuals statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in info format. The sibling packages
 r-doc-html and r-doc-pdf provide the same manuals.
Homepage: http://www.r-project.org/

Package: r-cran-cluster
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Section: gnu-r
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Description: GNU R package for cluster analysis by Rousseeuw et al
 This package provides functions and datasets for cluster analysis originally
 written by Peter Rousseeuw, Anja Struyf and Mia Hubert.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-base-core-dbg
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Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-cran-boot
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Description: GNU R package for bootstrapping functions from Davison and Hinkley
 This package provides functions and datasets from the book "Bootstrap Methods
 and Their Applications" by A. C. Davison and D. V. Hinkley (1997, CUP). It was
 witten by Angelo Canty, and ported to R by Brian Ripley.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL: http://statwww.epfl.ch/davison/BMA/library.html

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Description: GNU R info manuals statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in info format. The sibling packages
 r-doc-html and r-doc-pdf provide the same manuals.
Homepage: http://www.r-project.org/

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Description: GNU R statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package is a metapackage which eases the transition from the
 pre-1.5.0 package setup with its larger r-base package. Once installed, it
 can be safely removed and apt-get will automatically upgrade its components
 during future upgrades.  Providing this package gives a way to users to
 then only install r-base-core if they so desire.
Homepage: http://www.r-project.org/

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Description: GNU R package to read/write data from other stat. systems
 This package provides functions for reading and writing data stored by
 statistical packages such as Minitab, S, SAS, SPSS, Stata, ...
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

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Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-base-core
Priority: optional
Section: gnu-r
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Recommends: r-base-dev, r-doc-html, r-recommended
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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

Package: r-cran-boot
Priority: optional
Section: gnu-r
Installed-Size: 692
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: boot
Version: 1.3-3-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: r-base-core (>= 2.14.0)
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Description: GNU R package for bootstrapping functions from Davison and Hinkley
 This package provides functions and datasets from the book "Bootstrap Methods
 and Their Applications" by A. C. Davison and D. V. Hinkley (1997, CUP). It was
 witten by Angelo Canty, and ported to R by Brian Ripley.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL: http://statwww.epfl.ch/davison/BMA/library.html

Package: r-base-core-dbg
Priority: extra
Section: debug
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.14.0-1hardy0
Depends: r-base-core (= 2.14.0-1hardy0), r-base-dev (= 2.14.0-1hardy0)
Filename: hardy/r-base-core-dbg_2.14.0-1hardy0_amd64.deb
Size: 2939998
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Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-cran-mgcv
Priority: optional
Section: gnu-r
Installed-Size: 1228
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: mgcv
Version: 1.7-9-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.7), libgfortran2 (>= 4.2.1), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>> 2.13.2-1), r-cran-matrix, r-cran-nlme
Filename: hardy/r-cran-mgcv_1.7-9-1hardy0_amd64.deb
Size: 862628
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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-recommended
Priority: optional
Section: gnu-r
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Description: GNU R collection of recommended packages [metapackage]
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This Debian package is now a metapackage that depends on a set of
 packages that are recommended by the upstream R core team as part of a
 complete R distribution, and distributed along with the source of R
 itself, as well as directly via the CRAN network of mirrors. This set
 comprises the following packages (listed in their upstream names):
  - KernSmooth: Functions for kernel smoothing for Wand & Jones (1995)
  - Matrix: Classes and methods for dense and sparse matrices and
    operations on them using Lapack and SuiteSparse
  - MASS, class, nnet and spatial: packages from Venables and Ripley,
    `Modern Applied Statistics with S' (4th edition).
  - boot: Bootstrap R (S-Plus) Functions from the book "Bootstrap Methods
    and Their Applications" by A.C. Davison and D.V. Hinkley (1997).
  - cluster: Functions for clustering (by Rousseeuw et al.)
  - codetools: Code analysis tools for R
  - foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, ...
  - lattice: Implementation of Trellis (R) graphics
  - mgcv: Multiple smoothing parameter estimation and GAMs by GCV
  - nlme: Linear and nonlinear mixed effects models
  - rpart: Recursive partitioning and regression trees
  - survival: Survival analysis, including penalised likelihood.
Homepage: http://www.r-project.org/

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 1264
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.12.1-1hardy4
Depends: libc6 (>= 2.2.5)
Recommends: r-base-core (= 2.12.1-1hardy4), r-base-dev (= 2.12.1-1hardy4)
Filename: hardy/r-mathlib_2.12.1-1hardy4_amd64.deb
Size: 609970
MD5sum: 263466aad98d61958040b5f1a4d33897
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SHA256: 4cf5b182d7315162ea456087e150335e87975576900809b3f269ccf5d9b12555
Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-cran-lattice
Priority: optional
Section: gnu-r
Installed-Size: 960
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: lattice
Version: 0.19-26-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.2.5), r-base-core (>= 2.13.0)
Filename: hardy/r-cran-lattice_0.19-26-1hardy0_amd64.deb
Size: 682416
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Description: GNU R package for 'Trellis' graphics
 This package provides functions for 'Trellis' graphics -- a framework
 for data visualization developed at the Bell Labs by Rick Becker, Bill
 Cleveland et al, extending ideas presented in Bill Cleveland's 1993 book
 'Visualizing Data'.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-matrix
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: rmatrix
Version: 0.999375-49-1hardy0
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Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-cran-nlme
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Replaces: r-recommended (<< 1.9.0)
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Description: GNU R package for (non-)linear mixed effects models
 This package provides functions to fit and compare linear and non-linear
 mixed-effects models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 968
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
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SHA256: 740004fb4d5d52a4a44bf312c249d0bde41bd7355c764e1fec63e54f16918bc7
Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 992
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
Version: 2.13.2-1hardy0
Depends: libc6 (>= 2.1.3)
Recommends: r-base-core (= 2.13.2-1hardy0), r-base-dev (= 2.13.2-1hardy0)
Filename: hardy/r-mathlib_2.13.2-1hardy0_i386.deb
Size: 578992
MD5sum: 7eb5f3803ba4b00391bfd0c7e1cd4a13
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SHA256: b8defdc668e65e3837fae23cf1954db34099f91c8d85f3a28199ce0bf097e590
Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-cran-matrix
Priority: optional
Section: gnu-r
Installed-Size: 4468
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: rmatrix
Version: 1.0-1-1hardy0
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.7), libgfortran2 (>= 4.2.1), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>> 2.13.2), r-cran-lattice (>= 0.12-11.1)
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Size: 3064118
MD5sum: bcf0784cc0f07e8bc47df1314ad88c08
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SHA256: 1b441a5d225a952f61b92546a509860db2202868ee4d41352c0d80ca8c44489f
Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-cran-mgcv
Priority: optional
Section: gnu-r
Installed-Size: 1220
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: mgcv
Version: 1.7-8-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.7), libgfortran2 (>= 4.2.1), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 2.13.2), r-cran-matrix, r-cran-nlme
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Size: 859184
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SHA256: c523319b101b42e860d651d18aeaf4e1fcf820375b77f76b085aa53ec9f20934
Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 1276
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.13.0-2hardy0
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Filename: hardy/r-mathlib_2.13.0-2hardy0_amd64.deb
Size: 626284
MD5sum: 4b4ffe577e4bec801e335c8c77f1ca60
SHA1: 8e4017fdcacec6536a27ba6d9be9dcedd9cc9247
SHA256: 25b0d441ccab50ec15f21472b36b7ab9abe9dd1185469ba70de0c4f3dd2b5768
Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 992
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
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Size: 574090
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SHA1: 86c795517f4c0c827444b44370f3b83b7f017017
SHA256: 13492f37b64a2ed961ce1b46216245854ff3e6aaa8ea9222228763c3772599c5
Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-cran-matrix
Priority: optional
Section: gnu-r
Installed-Size: 4380
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rmatrix
Version: 0.999375-47-1hardy0
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.7), libgfortran2 (>= 4.2.1), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 2.12.1), r-cran-lattice (>= 0.12-11.1)
Filename: hardy/r-cran-matrix_0.999375-47-1hardy0_amd64.deb
Size: 2916004
MD5sum: df0793310183b60252512f7cea8cad7b
SHA1: 6c375905cabe7be7c0eb6a71ace7f99d91380cde
SHA256: 25df79864b28032723ad1f52644ed7d04a6ba3cbb76ae50dd67d77de1230ff10
Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-doc-info
Priority: optional
Section: doc
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: r-base
Version: 2.12.1-1hardy1
Replaces: r-base (<= 1.4.1-1)
Depends: dpkg | install-info
Suggests: info (>= 3.12) | info-browser, r-base-core
Filename: hardy/r-doc-info_2.12.1-1hardy1_all.deb
Size: 512628
MD5sum: 1a71d7df927ed1756e0c08bebdedcf06
SHA1: 173970d9c82d1cd966919c1844ffc1b633fb1a8b
SHA256: f14bfdfabaa51c6be5c5bf03ce0f8cb353ca313d45eb2921d847be7901901327
Description: GNU R info manuals statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in info format. The sibling packages
 r-doc-html and r-doc-pdf provide the same manuals.
Homepage: http://www.r-project.org/

Package: r-cran-nlme
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: nlme
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Replaces: r-recommended (<< 1.9.0)
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Size: 1561302
MD5sum: 9c7b39db1d316209e0f19c7ebbc9a895
SHA1: 32c449c13be4505cd249275356ccecae5b83ff41
SHA256: 017731df02596b174ec673c8ae65302d8ba2fffb5357929aaf4ecc468f127ef1
Description: GNU R package for (non-)linear mixed effects models
 This package provides functions to fit and compare linear and non-linear
 mixed-effects models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-boot
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Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Replaces: r-recommended (<< 1.9.0)
Depends: r-base-core (>= 2.13.0)
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Size: 452036
MD5sum: cd2947f9fe39a6c6f9e70b3c429fda5e
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SHA256: 6b560075e5bcd2023275c876547a2dc62d3278415366e434f2571286410ea3de
Description: GNU R package for bootstrapping functions from Davison and Hinkley
 This package provides functions and datasets from the book "Bootstrap Methods
 and Their Applications" by A. C. Davison and D. V. Hinkley (1997, CUP). It was
 witten by Angelo Canty, and ported to R by Brian Ripley.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL: http://statwww.epfl.ch/davison/BMA/library.html

Package: r-base
Priority: optional
Section: gnu-r
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Suggests: ess, r-doc-info | r-doc-pdf
Filename: hardy/r-base_2.13.1-1hardy2_all.deb
Size: 35688
MD5sum: 6aaee52ef5637a753fbdf071e6a183a5
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SHA256: aaecd549bae9bdb9ebc13b15c0df42e1be00f7684c753190e4c30516f11cd137
Description: GNU R statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package is a metapackage which eases the transition from the
 pre-1.5.0 package setup with its larger r-base package. Once installed, it
 can be safely removed and apt-get will automatically upgrade its components
 during future upgrades.  Providing this package gives a way to users to
 then only install r-base-core if they so desire.
Homepage: http://www.r-project.org/

Package: r-doc-html
Priority: optional
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Suggests: mozilla | www-browser, r-base-core
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Size: 595786
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SHA256: 996b5cf48c8bb715bbe78fbd6a88eba103957d97e136ff8266eca8db059ba6a2
Description: GNU R html manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in html format. The sibling packages
 r-doc-pdf and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: r-cran-nlme
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Size: 1594334
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SHA256: 5796f5a33b7d6dd781d4891f52a00e4126a04d91c5d44cf07e5c09b637747420
Description: GNU R package for (non-)linear mixed effects models
 This package provides functions to fit and compare linear and non-linear
 mixed-effects models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-nlme
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Description: GNU R package for (non-)linear mixed effects models
 This package provides functions to fit and compare linear and non-linear
 mixed-effects models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-mgcv
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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-matrix
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Section: gnu-r
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Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-base
Priority: optional
Section: gnu-r
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Description: GNU R statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package is a metapackage which eases the transition from the
 pre-1.5.0 package setup with its larger r-base package. Once installed, it
 can be safely removed and apt-get will automatically upgrade its components
 during future upgrades.  Providing this package gives a way to users to
 then only install r-base-core if they so desire.
Homepage: http://www.r-project.org/

Package: r-cran-foreign
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Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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SHA256: 0775d6e1ba96c408f48bf0151407e26ed9702d8dcef89e8ee233f50d4043ecf9
Description: GNU R package to read/write data from other stat. systems
 This package provides functions for reading and writing data stored by
 statistical packages such as Minitab, S, SAS, SPSS, Stata, ...
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-base-core-dbg
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Section: debug
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: r-base
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SHA256: fd173a0c343255e9d7f27a4c3b1c4185aa09d5959eb239fd94975ae256bd55ad
Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-base-core
Priority: optional
Section: gnu-r
Installed-Size: 26464
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Recommends: r-base-dev, r-doc-html, r-recommended
Suggests: ess, r-base-html, r-doc-info | r-doc-pdf, r-mathlib
Conflicts: r-base-latex, r-cran-rcompgen, r-gnome
Filename: hardy/r-base-core_2.12.1-1hardy1_i386.deb
Size: 13801964
MD5sum: 32c7dc3d232c8ba803e343cef974e474
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SHA256: 466a60a8367a7c8bb4779f3508fa46bd305331c63b27a322956eee01852eb602
Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

Package: r-base-html
Priority: extra
Section: doc
Installed-Size: 568
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.12.2-1hardy0
Replaces: r-base (<= 1.4.1-1), r-recommended (<< 1.9.0)
Depends: r-base-core
Suggests: mozilla | www-browser, r-doc-html
Filename: hardy/r-base-html_2.12.2-1hardy0_all.deb
Size: 84816
MD5sum: 9635a2e56ecf401914570169767a7458
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SHA256: 5d9e923d3b67d0706519eb3f75f0d2db4c83ff9278d4cf87d51b3a0caa82d50a
Description: GNU R html docs for statistical computing system functions
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides html documentation suitable for browsing with a
 web-browser for the libraries included in the r-base package. It is not
 a required package as the same documentation is already included for
 on-line browsing.
Homepage: http://www.r-project.org/

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Priority: optional
Section: gnu-r
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Source: vr
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Replaces: r-recommended (<< 1.9.0)
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Description: GNU R package accompanying the Venables and Ripley book on S
 This package provides functions and datasets from the book by William N.
 Venables and Brian D. Ripley, "Modern Applied Statistics with S", 4th ed.,
 Springer, 2002. The VR package contains four individuals packages: MASS,
 class, nnet and spatial.
 .
 These packages are now shipped in individual packages upon which this
 package depends.  Once all reverse Depends: on r-cran-vr are resolved
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Description: GNU R info manuals statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in info format. The sibling packages
 r-doc-html and r-doc-pdf provide the same manuals.
Homepage: http://www.r-project.org/

Package: r-doc-html
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Description: GNU R html manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in html format. The sibling packages
 r-doc-pdf and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: r-base-core
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Section: gnu-r
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Recommends: r-base-dev, r-doc-html, r-recommended
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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over two thousand extension "packages" are available
 from CRAN, the Comprehensive R Archive Network, many also as Debian
 packages, named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

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Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

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Description: GNU R package to read/write data from other stat. systems
 This package provides functions for reading and writing data stored by
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 .
 This package is part of the set of packages that are 'recommended'
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Description: GNU R statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package is a metapackage which eases the transition from the
 pre-1.5.0 package setup with its larger r-base package. Once installed, it
 can be safely removed and apt-get will automatically upgrade its components
 during future upgrades.  Providing this package gives a way to users to
 then only install r-base-core if they so desire.
Homepage: http://www.r-project.org/

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Section: gnu-r
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Description: GNU R package for 'Trellis' graphics
 This package provides functions for 'Trellis' graphics -- a framework
 for data visualization developed at the Bell Labs by Rick Becker, Bill
 Cleveland et al, extending ideas presented in Bill Cleveland's 1993 book
 'Visualizing Data'.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

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Description: GNU R package to read/write data from other stat. systems
 This package provides functions for reading and writing data stored by
 statistical packages such as Minitab, S, SAS, SPSS, Stata, ...
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

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Description: GNU R collection of recommended packages [metapackage]
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This Debian package is now a metapackage that depends on a set of
 packages that are recommended by the upstream R core team as part of a
 complete R distribution, and distributed along with the source of R
 itself, as well as directly via the CRAN network of mirrors. This set
 comprises the following packages (listed in their upstream names):
  - KernSmooth: Functions for kernel smoothing for Wand & Jones (1995)
  - Matrix: Classes and methods for dense and sparse matrices and
    operations on them using Lapack and SuiteSparse
  - MASS, class, nnet and spatial: packages from Venables and Ripley,
    `Modern Applied Statistics with S' (4th edition).
  - boot: Bootstrap R (S-Plus) Functions from the book "Bootstrap Methods
    and Their Applications" by A.C. Davison and D.V. Hinkley (1997).
  - cluster: Functions for clustering (by Rousseeuw et al.)
  - codetools: Code analysis tools for R
  - foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, ...
  - lattice: Implementation of Trellis (R) graphics
  - mgcv: Multiple smoothing parameter estimation and GAMs by GCV
  - nlme: Linear and nonlinear mixed effects models
  - rpart: Recursive partitioning and regression trees
  - survival: Survival analysis, including penalised likelihood.
Homepage: http://www.r-project.org/

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Section: gnu-r
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Description: GNU R package for classification
 The class package provides functions and datasets to support chapter
 12 on 'Classification' in the book 'Modern Applied Statistics with S'
 (4th edition) by W.N. Venables and B.D. Ripley. The following URL
 provides more details about the book:
 URL: http://www.stats.ox.ac.uk/pub/MASS4
Homepage: http://cran.r-project.org/web/packages/class/index.html

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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over two thousand extension "packages" are available
 from CRAN, the Comprehensive R Archive Network, many also as Debian
 packages, named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

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Description: GNU R installation of auxiliary GNU R packages
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package ensures that other Debian packages needed for installation of
 some auxiliary R packages are installed.
Homepage: http://www.r-project.org/

Package: r-cran-foreign
Priority: optional
Section: gnu-r
Installed-Size: 500
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
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Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.7), r-base-core (>= 2.13.0)
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Description: GNU R package to read/write data from other stat. systems
 This package provides functions for reading and writing data stored by
 statistical packages such as Minitab, S, SAS, SPSS, Stata, ...
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-survival
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Replaces: r-recommended (<< 1.9.0)
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Filename: hardy/r-cran-survival_2.36-3-1hardy0_amd64.deb
Size: 2274744
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Description: GNU R package for survival analysis
 This package provides functions and datasets for survival analysis:
 descriptive statistics, two-sample tests, parametric accelerated failure
 models, Cox model. Delayed entry (truncation) is allowed for all models;
 interval censoring for parametric models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: ess
Priority: optional
Section: gnu-r
Installed-Size: 5140
Maintainer: ESS Debian Maintainers <ess-debian@stat.math.ethz.ch>
Architecture: all
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Suggests: pspp, r-base | r-base-core, xlispstat
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Filename: hardy/ess_5.12-1hardy0_all.deb
Size: 1491094
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Description: Emacs mode for statistical programming and data analysis
 ESS ("Emacs Speaks Statistics") is a GNU Emacs and XEmacs mode for
 interactive statistical programming and data analysis. Languages
 supported are the S family (S 3/4, S-PLUS 3/4/5/6/7, and R), SAS,
 XLispStat, Stata, and BUGS.
 .
 ESS grew out of the desire for bug fixes and extensions to S-mode and
 SAS-mode as well as a consistent union of their features in one
 package.
Homepage: http://ess.r-project.org

Package: r-cran-matrix
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: rmatrix
Version: 1.0-1-1hardy0
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.7), libgfortran2 (>= 4.2.1), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>> 2.13.2), r-cran-lattice (>= 0.12-11.1)
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Size: 3079450
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Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-base-html
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
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Replaces: r-base (<= 1.4.1-1), r-recommended (<< 1.9.0)
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Suggests: mozilla | www-browser, r-doc-html
Filename: hardy/r-base-html_2.13.0-2hardy0_all.deb
Size: 87528
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Description: GNU R html docs for statistical computing system functions
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides html documentation suitable for browsing with a
 web-browser for the libraries included in the r-base package. It is not
 a required package as the same documentation is already included for
 on-line browsing.
Homepage: http://www.r-project.org/

Package: r-base-dev
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Section: gnu-r
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Suggests: cdbs, debhelper
Filename: hardy/r-base-dev_2.12.1-1hardy1hardy3_all.deb
Size: 3506
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Description: GNU R installation of auxiliary GNU R packages
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package ensures that other Debian packages needed for installation of
 some auxiliary R packages are installed.
Homepage: http://www.r-project.org/

Package: r-cran-mgcv
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Replaces: r-recommended (<< 1.9.0)
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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-mathlib
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: r-base
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Size: 591008
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Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-cran-rodbc
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Section: gnu-r
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Suggests: libmyodbc, odbc-postgresql
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Size: 772980
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Description: GNU R package for ODBC database access
 This CRAN package provides access to any Open DataBase Connectivity (ODBC)
 accessible database.
 .
 The package should be platform independent and provide access to any
 database for which a driver exists.  It has been tested with MySQL
 and PostgreSQL on both Linux and Windows (and to those DBMSs on Linux
 hosts from R under Windows), Microsoft Access, SQL Server and Excel
 spreadsheets (read-only), and users have reported success with
 connections to Oracle and DBase.
 .
 Usage is covered in the R Data Import/Export manual (available via the
 r-doc-pdf, r-doc-html and r-doc-info packages).

Package: r-cran-codetools
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Section: gnu-r
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Description: GNU R package providing code analysis tools
 This package provides functions for code analysis for R.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-kernsmooth
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Section: gnu-r
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Source: kernsmooth
Version: 2.23-6-1hardy0
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Description: GNU R package for kernel smoothing and density estimation
 This package provides functions for kernel smoothing and density estimation
 corresponding to M.P. Wand and M.C. Jones, "Kernel Smoothing", 1995.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL: http://www.maths.unsw.edu.au/~wand

Package: r-base-dev
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Section: gnu-r
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Suggests: debhelper
Filename: hardy/r-base-dev_2.13.1-1hardy2_all.deb
Size: 3508
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SHA256: 0508005f3fc91da9b4f4ee6deac398846a0ccfb4c9ec39cd6e1462173f3330de
Description: GNU R installation of auxiliary GNU R packages
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package ensures that other Debian packages needed for installation of
 some auxiliary R packages are installed.
Homepage: http://www.r-project.org/

Package: r-doc-info
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Section: doc
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Size: 536008
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Description: GNU R info manuals statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in info format. The sibling packages
 r-doc-html and r-doc-pdf provide the same manuals.
Homepage: http://www.r-project.org/

Package: r-cran-nlme
Priority: optional
Section: gnu-r
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Description: GNU R package for (non-)linear mixed effects models
 This package provides functions to fit and compare linear and non-linear
 mixed-effects models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 992
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
Version: 2.13.1-1hardy0
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Size: 575686
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Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-cran-foreign
Priority: optional
Section: gnu-r
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Replaces: r-recommended (<< 1.9.0)
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Description: GNU R package to read/write data from other stat. systems
 This package provides functions for reading and writing data stored by
 statistical packages such as Minitab, S, SAS, SPSS, Stata, ...
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-kernsmooth
Priority: optional
Section: gnu-r
Installed-Size: 240
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: kernsmooth
Version: 2.23-4-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.2.5), libgfortran2 (>= 4.2.1), r-base-core (>= 2.11.1), r-cran-mass
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Size: 58990
MD5sum: 9e31d13ab9482d01dd67c473418edda8
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SHA256: deb53a02dda8d7fa87aadd75f99706f5d48511722a83d4a1942df476f6dd00bc
Description: GNU R package for kernel smoothing and density estimation
 This package provides functions for kernel smoothing and density estimation
 corresponding to M.P. Wand and M.C. Jones, "Kernel Smoothing", 1995.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL: http://www.maths.unsw.edu.au/~wand

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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

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Description: GNU R package of classes for dense and sparse matrices
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 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

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Description: GNU R collection of recommended packages [metapackage]
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This Debian package is now a metapackage that depends on a set of
 packages that are recommended by the upstream R core team as part of a
 complete R distribution, and distributed along with the source of R
 itself, as well as directly via the CRAN network of mirrors. This set
 comprises the following packages (listed in their upstream names):
  - KernSmooth: Functions for kernel smoothing for Wand & Jones (1995)
  - Matrix: Classes and methods for dense and sparse matrices and
    operations on them using Lapack and SuiteSparse
  - MASS, class, nnet and spatial: packages from Venables and Ripley,
    `Modern Applied Statistics with S' (4th edition).
  - boot: Bootstrap R (S-Plus) Functions from the book "Bootstrap Methods
    and Their Applications" by A.C. Davison and D.V. Hinkley (1997).
  - cluster: Functions for clustering (by Rousseeuw et al.)
  - codetools: Code analysis tools for R
  - foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, ...
  - lattice: Implementation of Trellis (R) graphics
  - mgcv: Multiple smoothing parameter estimation and GAMs by GCV
  - nlme: Linear and nonlinear mixed effects models
  - rpart: Recursive partitioning and regression trees
  - survival: Survival analysis, including penalised likelihood.
Homepage: http://www.r-project.org/

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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

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Description: GNU R package for survival analysis
 This package provides functions and datasets for survival analysis:
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 models, Cox model. Delayed entry (truncation) is allowed for all models;
 interval censoring for parametric models.
 .
 This package is part of the set of packages that are 'recommended'
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 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in pdf format. The sibling packages
 r-doc-html and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

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Description: GNU R package for kernel smoothing and density estimation
 This package provides functions for kernel smoothing and density estimation
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 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL: http://www.maths.unsw.edu.au/~wand

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Description: GNU R html manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in html format. The sibling packages
 r-doc-pdf and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

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Description: GNU R package for 'Trellis' graphics
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 for data visualization developed at the Bell Labs by Rick Becker, Bill
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 .
 This package is part of the set of packages that are 'recommended'
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Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

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Description: GNU R package for kernel smoothing and density estimation
 This package provides functions for kernel smoothing and density estimation
 corresponding to M.P. Wand and M.C. Jones, "Kernel Smoothing", 1995.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL: http://www.maths.unsw.edu.au/~wand

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Description: GNU R collection of recommended packages [metapackage]
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This Debian package is now a metapackage that depends on a set of
 packages that are recommended by the upstream R core team as part of a
 complete R distribution, and distributed along with the source of R
 itself, as well as directly via the CRAN network of mirrors. This set
 comprises the following packages (listed in their upstream names):
  - KernSmooth: Functions for kernel smoothing for Wand & Jones (1995)
  - Matrix: Classes and methods for dense and sparse matrices and
    operations on them using Lapack and SuiteSparse
  - MASS, class, nnet and spatial: packages from Venables and Ripley,
    `Modern Applied Statistics with S' (4th edition).
  - boot: Bootstrap R (S-Plus) Functions from the book "Bootstrap Methods
    and Their Applications" by A.C. Davison and D.V. Hinkley (1997).
  - cluster: Functions for clustering (by Rousseeuw et al.)
  - codetools: Code analysis tools for R
  - foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, ...
  - lattice: Implementation of Trellis (R) graphics
  - mgcv: Multiple smoothing parameter estimation and GAMs by GCV
  - nlme: Linear and nonlinear mixed effects models
  - rpart: Recursive partitioning and regression trees
  - survival: Survival analysis, including penalised likelihood.
Homepage: http://www.r-project.org/

Package: r-cran-matrix
Priority: optional
Section: gnu-r
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Filename: hardy/r-cran-matrix_0.999375-46-1hardy0_i386.deb
Size: 3012212
MD5sum: 8a9d6290b68324e0e2279da7ff8063fb
SHA1: 15670af129df706f37ec990b699e982c1ff3d490
SHA256: 44702542ff9cb089b9c9fc2232ad7a0806d5108bd8a8a1fbbbe99b50ef9cdb6e
Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-cran-matrix
Priority: optional
Section: gnu-r
Installed-Size: 4436
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rmatrix
Version: 0.999375-50-1hardy0
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.7), libgfortran2 (>= 4.2.1), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 2.12.2), r-cran-lattice (>= 0.12-11.1)
Filename: hardy/r-cran-matrix_0.999375-50-1hardy0_amd64.deb
Size: 2939636
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SHA256: dd10e646dbc8542ba9e0ef7795f05e55bea4bf0f5b32724f19d2b48160e67e42
Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-base-core-dbg
Priority: extra
Section: debug
Installed-Size: 9400
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.12.1-1hardy
Depends: r-base-core (= 2.12.1-1hardy), r-base-dev (= 2.12.1-1hardy)
Filename: hardy/r-base-core-dbg_2.12.1-1hardy_amd64.deb
Size: 2709162
MD5sum: d27dbeb536eebce3ea2463fe8658513d
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SHA256: 3a1a458d906c3d25040dba47e5f5f2e305f9f5843cc19ddba42d2dae2ee0b27a
Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 1264
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.12.2-1hardy0
Depends: libc6 (>= 2.2.5)
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Filename: hardy/r-mathlib_2.12.2-1hardy0_amd64.deb
Size: 614560
MD5sum: 2a619e2e1b1c1b5ac8522f55a9e5bf93
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Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-base
Priority: optional
Section: gnu-r
Installed-Size: 84
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Depends: r-base-core (>= 2.14.1-1hardy0), r-recommended (= 2.14.1-1hardy0)
Recommends: r-base-html, r-doc-html
Suggests: ess, r-doc-info | r-doc-pdf
Filename: hardy/r-base_2.14.1-1hardy0_all.deb
Size: 36350
MD5sum: 6f6ba3cf50797d41f19151250f24a75c
SHA1: 8010485da6a4ad890270688e1bafe48777c1c11b
SHA256: 9d34524ef93d4a4885c2f3790542ea0c9ea90d8eab85905d37014c13c71b0a57
Description: GNU R statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package is a metapackage which eases the transition from the
 pre-1.5.0 package setup with its larger r-base package. Once installed, it
 can be safely removed and apt-get will automatically upgrade its components
 during future upgrades.  Providing this package gives a way to users to
 then only install r-base-core if they so desire.
Homepage: http://www.r-project.org/

Package: r-base-core-dbg
Priority: extra
Section: debug
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.12.1-1hardy1
Depends: r-base-core (= 2.12.1-1hardy1), r-base-dev (= 2.12.1-1hardy1)
Filename: hardy/r-base-core-dbg_2.12.1-1hardy1_amd64.deb
Size: 2717410
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SHA256: 93680060ad6a9d5a5f5118e2fdc4c9a1935a5c57ebfc6f56fb5b1f41b979d6a3
Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-cran-cluster
Priority: optional
Section: gnu-r
Installed-Size: 556
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: cluster
Version: 1.14.1-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.1.3), libgfortran2 (>= 4.2.1), r-base-core (>> 2.13.2)
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Size: 354548
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SHA256: c891a5a29d1fe5071209639198677d16c9cc9e540dfda0442e24b828c7562eaf
Description: GNU R package for cluster analysis by Rousseeuw et al
 This package provides functions and datasets for cluster analysis originally
 written by Peter Rousseeuw, Anja Struyf and Mia Hubert.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-base-html
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Section: doc
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: r-base
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Depends: r-base-core
Suggests: mozilla | www-browser, r-doc-html
Filename: hardy/r-base-html_2.12.1-1hardy1_all.deb
Size: 84296
MD5sum: c5591c68aa98ebf97898f4bd8a649ad4
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Description: GNU R html docs for statistical computing system functions
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides html documentation suitable for browsing with a
 web-browser for the libraries included in the r-base package. It is not
 a required package as the same documentation is already included for
 on-line browsing.
Homepage: http://www.r-project.org/

Package: r-doc-info
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: r-base
Version: 2.13.2-1hardy0
Replaces: r-base (<= 1.4.1-1)
Depends: dpkg | install-info
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Filename: hardy/r-doc-info_2.13.2-1hardy0_all.deb
Size: 532220
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Description: GNU R info manuals statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in info format. The sibling packages
 r-doc-html and r-doc-pdf provide the same manuals.
Homepage: http://www.r-project.org/

Package: r-doc-pdf
Priority: optional
Section: doc
Installed-Size: 8288
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Suggests: r-base-core, xdg-utils | pdf-viewer
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Size: 7264580
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SHA256: 706d47b06b7447fb21028852d95461cc2728cf1f88ef9f523315ee3b38a1718f
Description: GNU R pdf manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in pdf format. The sibling packages
 r-doc-html and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: r-cran-kernsmooth
Priority: optional
Section: gnu-r
Installed-Size: 232
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: kernsmooth
Version: 2.23-4-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.1.3), libgfortran2 (>= 4.2.1), r-base-core (>= 2.11.1), r-cran-mass
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Size: 57718
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SHA256: 8326b0457441bc2f7b7352360cc1867801416bf716fd5672516208dd98888c29
Description: GNU R package for kernel smoothing and density estimation
 This package provides functions for kernel smoothing and density estimation
 corresponding to M.P. Wand and M.C. Jones, "Kernel Smoothing", 1995.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL: http://www.maths.unsw.edu.au/~wand

Package: python-rpy
Priority: optional
Section: python
Installed-Size: 220
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Provides: python2.4-rpy, python2.5-rpy
Depends: libc6 (>= 2.1.3), python (>= 2.4), python (<< 2.6), python-central (>= 0.6.7), python-numpy, r-base-core (>= 2.12.1)
Suggests: python-rpy-docs
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Size: 62272
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SHA256: 485a1a022081f42058192cdeaaf3dd5fb11140e76abfdb8458a1c6aef0d81fa8
Description: Python interface to the GNU R language and environment
 This Debian package provides RPy, a very simple yet robust Python interface
 to the GNU R Programming Language. It can manage different types of R objects,
 and can execute arbitrary R functions, including graphic functions.
 .
 URL: http://rpy.sourceforge.net/
Python-Version: 2.4, 2.5

Package: r-cran-lattice
Priority: optional
Section: gnu-r
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Source: lattice
Version: 0.19-33-1hardy0
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Size: 695200
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Description: GNU R package for 'Trellis' graphics
 This package provides functions for 'Trellis' graphics -- a framework
 for data visualization developed at the Bell Labs by Rick Becker, Bill
 Cleveland et al, extending ideas presented in Bill Cleveland's 1993 book
 'Visualizing Data'.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-lattice
Priority: optional
Section: gnu-r
Installed-Size: 972
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Version: 0.19-33-1hardy0
Replaces: r-recommended (<< 1.9.0)
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Size: 694250
MD5sum: e437aacfdc8acbdcae918f5a2fc9af3a
SHA1: 97bd697cf53963692eba7b303e139302073d0836
SHA256: 0c2d1d25b719660654b9845b1835be538e1541e4e851874657a21ecef2ab7ac8
Description: GNU R package for 'Trellis' graphics
 This package provides functions for 'Trellis' graphics -- a framework
 for data visualization developed at the Bell Labs by Rick Becker, Bill
 Cleveland et al, extending ideas presented in Bill Cleveland's 1993 book
 'Visualizing Data'.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 984
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
Version: 2.13.0-2hardy0
Depends: libc6 (>= 2.1.3), libgomp1
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Filename: hardy/r-mathlib_2.13.0-2hardy0_i386.deb
Size: 571322
MD5sum: 99560c2bdfa5c36b660e73c7f58708ac
SHA1: 2de0b53612caf30a39d3d8772482873a9b0bbd26
SHA256: 9020bf463b69ca6dc5145359e84e3ced0775e3a801e66ac4c82a73c220edde3e
Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-doc-pdf
Priority: optional
Section: doc
Installed-Size: 8428
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.13.0-2hardy0
Suggests: r-base-core, xdg-utils | pdf-viewer
Filename: hardy/r-doc-pdf_2.13.0-2hardy0_all.deb
Size: 7393236
MD5sum: 7c872f66f826e3ed08869c034bd673a1
SHA1: 82995841ad810b493ffdabbf717d7f04639eaada
SHA256: 2e515b84ca8bd187921d185c74a7f86dcbccac87d4682124d290ced0e74c2b77
Description: GNU R pdf manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in pdf format. The sibling packages
 r-doc-html and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: littler
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Filename: hardy/littler_0.1.5-1hardy0_i386.deb
Size: 31888
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Description: GNU R scripting and command-line front-end
 The 'r' (aka 'littler') program provides a leightweight binary wrapper around
 the GNU R language and environment for statistical computing and graphics.
 .
 While R can be used in batch mode, the r binary adds full support for
 both 'shebang'-style scripting (i.e. using a  hashmark-exclamation-path
 expression as the first line in scripts) as well as command-line use in
 standard Unix pipelines. In other words, r provides the R language without
 the environment.

Package: r-base-core-dbg
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Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-cran-nlme
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Description: GNU R package for (non-)linear mixed effects models
 This package provides functions to fit and compare linear and non-linear
 mixed-effects models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: littler
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Description: GNU R scripting and command-line front-end
 The 'r' (aka 'littler') program provides a leightweight binary wrapper around
 the GNU R language and environment for statistical computing and graphics.
 .
 While R can be used in batch mode, the r binary adds full support for
 both 'shebang'-style scripting (i.e. using a  hashmark-exclamation-path
 expression as the first line in scripts) as well as command-line use in
 standard Unix pipelines. In other words, r provides the R language without
 the environment.

Package: r-base-html
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Suggests: mozilla | www-browser, r-doc-html
Filename: hardy/r-base-html_2.12.1-1hardy4_all.deb
Size: 85794
MD5sum: 39c663f021fb900c0676d4afdad17903
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Description: GNU R html docs for statistical computing system functions
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides html documentation suitable for browsing with a
 web-browser for the libraries included in the r-base package. It is not
 a required package as the same documentation is already included for
 on-line browsing.
Homepage: http://www.r-project.org/

Package: littler
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Description: GNU R scripting and command-line front-end
 The 'r' (aka 'littler') program provides a leightweight binary wrapper around
 the GNU R language and environment for statistical computing and graphics.
 .
 While R can be used in batch mode, the r binary adds full support for
 both 'shebang'-style scripting (i.e. using a  hashmark-exclamation-path
 expression as the first line in scripts) as well as command-line use in
 standard Unix pipelines. In other words, r provides the R language without
 the environment.

Package: r-doc-html
Priority: optional
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Description: GNU R html manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in html format. The sibling packages
 r-doc-pdf and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: r-mathlib
Priority: optional
Section: gnu-r
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Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-doc-pdf
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Description: GNU R pdf manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in pdf format. The sibling packages
 r-doc-html and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: r-doc-pdf
Priority: optional
Section: doc
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Description: GNU R pdf manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in pdf format. The sibling packages
 r-doc-html and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: r-base-dev
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Description: GNU R installation of auxiliary GNU R packages
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package ensures that other Debian packages needed for installation of
 some auxiliary R packages are installed.
Homepage: http://www.r-project.org/

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Suggests: mozilla | www-browser, r-doc-html
Filename: hardy/r-base-html_2.13.2-1hardy0_all.deb
Size: 88874
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Description: GNU R html docs for statistical computing system functions
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides html documentation suitable for browsing with a
 web-browser for the libraries included in the r-base package. It is not
 a required package as the same documentation is already included for
 on-line browsing.
Homepage: http://www.r-project.org/

Package: r-cran-kernsmooth
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Section: gnu-r
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Description: GNU R package for kernel smoothing and density estimation
 This package provides functions for kernel smoothing and density estimation
 corresponding to M.P. Wand and M.C. Jones, "Kernel Smoothing", 1995.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL: http://www.maths.unsw.edu.au/~wand

Package: r-cran-survival
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Section: gnu-r
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Description: GNU R package for survival analysis
 This package provides functions and datasets for survival analysis:
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 models, Cox model. Delayed entry (truncation) is allowed for all models;
 interval censoring for parametric models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-mgcv
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Section: gnu-r
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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

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Description: GNU R package for 'Trellis' graphics
 This package provides functions for 'Trellis' graphics -- a framework
 for data visualization developed at the Bell Labs by Rick Becker, Bill
 Cleveland et al, extending ideas presented in Bill Cleveland's 1993 book
 'Visualizing Data'.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

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Description: Emacs mode for statistical programming and data analysis
 ESS ("Emacs Speaks Statistics") is a GNU Emacs and XEmacs mode for
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 .
 ESS grew out of the desire for bug fixes and extensions to S-mode and
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Homepage: http://ess.r-project.org

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Description: GNU R html docs for statistical computing system functions
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides html documentation suitable for browsing with a
 web-browser for the libraries included in the r-base package. It is not
 a required package as the same documentation is already included for
 on-line browsing.
Homepage: http://www.r-project.org/

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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
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Description: GNU R package to read/write data from other stat. systems
 This package provides functions for reading and writing data stored by
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 This package is part of the set of packages that are 'recommended'
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Description: GNU R html docs for statistical computing system functions
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides html documentation suitable for browsing with a
 web-browser for the libraries included in the r-base package. It is not
 a required package as the same documentation is already included for
 on-line browsing.
Homepage: http://www.r-project.org/

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Description: GNU R package to read/write data from other stat. systems
 This package provides functions for reading and writing data stored by
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 .
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 R is a system for statistical computation and graphics.  It consists
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 access to certain system functions, and the ability to run programs
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 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
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Homepage: http://www.r-project.org/

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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
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 parameter selection by GCV or UBRE. It includes an implementation (not
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 .
 This package is part of the set of packages that are 'recommended'
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 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in pdf format. The sibling packages
 r-doc-html and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
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 .
 This package is part of the set of packages that are 'recommended'
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 witten by Angelo Canty, and ported to R by Brian Ripley.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL: http://statwww.epfl.ch/davison/BMA/library.html

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Description: GNU R html docs for statistical computing system functions
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides html documentation suitable for browsing with a
 web-browser for the libraries included in the r-base package. It is not
 a required package as the same documentation is already included for
 on-line browsing.
Homepage: http://www.r-project.org/

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Description: GNU R html manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in html format. The sibling packages
 r-doc-pdf and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

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Description: GNU R info manuals statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in info format. The sibling packages
 r-doc-html and r-doc-pdf provide the same manuals.
Homepage: http://www.r-project.org/

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Description: GNU R info manuals statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in info format. The sibling packages
 r-doc-html and r-doc-pdf provide the same manuals.
Homepage: http://www.r-project.org/

Package: r-recommended
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Section: gnu-r
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Description: GNU R collection of recommended packages [metapackage]
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This Debian package is now a metapackage that depends on a set of
 packages that are recommended by the upstream R core team as part of a
 complete R distribution, and distributed along with the source of R
 itself, as well as directly via the CRAN network of mirrors. This set
 comprises the following packages (listed in their upstream names):
  - KernSmooth: Functions for kernel smoothing for Wand & Jones (1995)
  - Matrix: Classes and methods for dense and sparse matrices and
    operations on them using Lapack and SuiteSparse
  - MASS, class, nnet and spatial: packages from Venables and Ripley,
    `Modern Applied Statistics with S' (4th edition).
  - boot: Bootstrap R (S-Plus) Functions from the book "Bootstrap Methods
    and Their Applications" by A.C. Davison and D.V. Hinkley (1997).
  - cluster: Functions for clustering (by Rousseeuw et al.)
  - codetools: Code analysis tools for R
  - foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, ...
  - lattice: Implementation of Trellis (R) graphics
  - mgcv: Multiple smoothing parameter estimation and GAMs by GCV
  - nlme: Linear and nonlinear mixed effects models
  - rpart: Recursive partitioning and regression trees
  - survival: Survival analysis, including penalised likelihood.
Homepage: http://www.r-project.org/

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Description: GNU R pdf manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in pdf format. The sibling packages
 r-doc-html and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: r-cran-survival
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Section: gnu-r
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Description: GNU R package for survival analysis
 This package provides functions and datasets for survival analysis:
 descriptive statistics, two-sample tests, parametric accelerated failure
 models, Cox model. Delayed entry (truncation) is allowed for all models;
 interval censoring for parametric models.
 .
 This package is part of the set of packages that are 'recommended'
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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

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Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

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Recommends: r-base-dev, r-doc-html, r-recommended
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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over two thousand extension "packages" are available
 from CRAN, the Comprehensive R Archive Network, many also as Debian
 packages, named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

Package: r-cran-survival
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Section: gnu-r
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Description: GNU R package for survival analysis
 This package provides functions and datasets for survival analysis:
 descriptive statistics, two-sample tests, parametric accelerated failure
 models, Cox model. Delayed entry (truncation) is allowed for all models;
 interval censoring for parametric models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

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Description: GNU R collection of recommended packages [metapackage]
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This Debian package is now a metapackage that depends on a set of
 packages that are recommended by the upstream R core team as part of a
 complete R distribution, and distributed along with the source of R
 itself, as well as directly via the CRAN network of mirrors. This set
 comprises the following packages (listed in their upstream names):
  - KernSmooth: Functions for kernel smoothing for Wand & Jones (1995)
  - Matrix: Classes and methods for dense and sparse matrices and
    operations on them using Lapack and SuiteSparse
  - MASS, class, nnet and spatial: packages from Venables and Ripley,
    `Modern Applied Statistics with S' (4th edition).
  - boot: Bootstrap R (S-Plus) Functions from the book "Bootstrap Methods
    and Their Applications" by A.C. Davison and D.V. Hinkley (1997).
  - cluster: Functions for clustering (by Rousseeuw et al.)
  - codetools: Code analysis tools for R
  - foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, ...
  - lattice: Implementation of Trellis (R) graphics
  - mgcv: Multiple smoothing parameter estimation and GAMs by GCV
  - nlme: Linear and nonlinear mixed effects models
  - rpart: Recursive partitioning and regression trees
  - survival: Survival analysis, including penalised likelihood.
Homepage: http://www.r-project.org/

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 R is a system for statistical computation and graphics.  It consists
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 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package ensures that other Debian packages needed for installation of
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Homepage: http://www.r-project.org/

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Description: GNU R package for classification
 The class package provides functions and datasets to support chapter
 12 on 'Classification' in the book 'Modern Applied Statistics with S'
 (4th edition) by W.N. Venables and B.D. Ripley. The following URL
 provides more details about the book:
 URL: http://www.stats.ox.ac.uk/pub/MASS4
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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
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 .
 This package is part of the set of packages that are 'recommended'
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 R is a system for statistical computation and graphics.  It consists
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 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in pdf format. The sibling packages
 r-doc-html and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

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Description: GNU R package of Venables and Ripley's MASS
 The MASS package provides functions and datasets to support the book
 'Modern Applied Statistics with S' (4th edition) by W.N. Venables and
 B.D. Ripley. The following URL provides more details about the book:
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Description: GNU R package for spatial statistics
 The spatial package provides functions and datasets to support
 chapter 15 on 'Spatial Statistic' in the book 'Modern Applied
 Statistics with S' (4th edition) by W.N. Venables and
 B.D. Ripley. The following URL provides more details about the book:
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Description: GNU R statistical computation and graphics system
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 access to certain system functions, and the ability to run programs
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 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
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 implementation and semantics are derived from Scheme.
 .
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 branching and looping as well as modular programming using functions.
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 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
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 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
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Homepage: http://www.r-project.org/

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 access to certain system functions, and the ability to run programs
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 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in html format. The sibling packages
 r-doc-pdf and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

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 .
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 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
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 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over two thousand extension "packages" are available
 from CRAN, the Comprehensive R Archive Network, many also as Debian
 packages, named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
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Homepage: http://www.r-project.org/

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 .
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Description: GNU R html docs for statistical computing system functions
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 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides html documentation suitable for browsing with a
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 a required package as the same documentation is already included for
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Homepage: http://www.r-project.org/

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Description: GNU R installation of auxiliary GNU R packages
 R is a system for statistical computation and graphics.  It consists
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 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package ensures that other Debian packages needed for installation of
 some auxiliary R packages are installed.
Homepage: http://www.r-project.org/

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Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-cran-rpart
Priority: optional
Section: gnu-r
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Replaces: r-recommended (<< 1.9.0)
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Size: 160662
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Description: GNU R package for recursive partitioning and regression trees
 This package provides functions to recursive partioning and regression trees.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL (of the S-Plus original): http://www.mayo.edu/hsr/Sfunc.html

Package: r-cran-lattice
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Size: 696742
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Description: GNU R package for 'Trellis' graphics
 This package provides functions for 'Trellis' graphics -- a framework
 for data visualization developed at the Bell Labs by Rick Becker, Bill
 Cleveland et al, extending ideas presented in Bill Cleveland's 1993 book
 'Visualizing Data'.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-matrix
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Size: 2992488
MD5sum: ccccd2b16f98b507ac43cc9993f38596
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Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-cran-lattice
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Section: gnu-r
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Description: GNU R package for 'Trellis' graphics
 This package provides functions for 'Trellis' graphics -- a framework
 for data visualization developed at the Bell Labs by Rick Becker, Bill
 Cleveland et al, extending ideas presented in Bill Cleveland's 1993 book
 'Visualizing Data'.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

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Description: GNU R scripting and command-line front-end
 The 'r' (aka 'littler') program provides a leightweight binary wrapper around
 the GNU R language and environment for statistical computing and graphics.
 .
 While R can be used in batch mode, the r binary adds full support for
 both 'shebang'-style scripting (i.e. using a  hashmark-exclamation-path
 expression as the first line in scripts) as well as command-line use in
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 the environment.

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Priority: optional
Section: gnu-r
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Version: 1.7-11-1hardy0
Replaces: r-recommended (<< 1.9.0)
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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

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Section: gnu-r
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Description: GNU R package for (non-)linear mixed effects models
 This package provides functions to fit and compare linear and non-linear
 mixed-effects models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-base-html
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Description: GNU R html docs for statistical computing system functions
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides html documentation suitable for browsing with a
 web-browser for the libraries included in the r-base package. It is not
 a required package as the same documentation is already included for
 on-line browsing.
Homepage: http://www.r-project.org/

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Description: GNU R info manuals statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in info format. The sibling packages
 r-doc-html and r-doc-pdf provide the same manuals.
Homepage: http://www.r-project.org/

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Section: gnu-r
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Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

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Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

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Description: GNU R package of Venables and Ripley's MASS
 The MASS package provides functions and datasets to support the book
 'Modern Applied Statistics with S' (4th edition) by W.N. Venables and
 B.D. Ripley. The following URL provides more details about the book:
 URL: http://www.stats.ox.ac.uk/pub/MASS4
Homepage: http://cran.r-project.org/web/packages/MASS/index.html

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Description: GNU R package to read/write data from other stat. systems
 This package provides functions for reading and writing data stored by
 statistical packages such as Minitab, S, SAS, SPSS, Stata, ...
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

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Description: GNU R package for cluster analysis by Rousseeuw et al
 This package provides functions and datasets for cluster analysis originally
 written by Peter Rousseeuw, Anja Struyf and Mia Hubert.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-mgcv
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Section: gnu-r
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Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-matrix
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Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-cran-mass
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Filename: hardy/r-cran-mass_7.3-13-1hardy0_amd64.deb
Size: 828632
MD5sum: c11225269e44b6cb68240c3d3e9a96c7
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SHA256: 06c5c9b9626a96e052f24a8e4d663ef77afc84db0281765eb5a20e82b8a81282
Description: GNU R package of Venables and Ripley's MASS
 The MASS package provides functions and datasets to support the book
 'Modern Applied Statistics with S' (4th edition) by W.N. Venables and
 B.D. Ripley. The following URL provides more details about the book:
 URL: http://www.stats.ox.ac.uk/pub/MASS4
Homepage: http://cran.r-project.org/web/packages/MASS/index.html

Package: r-cran-rodbc
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Suggests: libmyodbc, odbc-postgresql
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Size: 729842
MD5sum: 4cff68e6ab7e3006985315dd968b5d0a
SHA1: 0718392cc8953ffef824702385686cc75389780a
SHA256: 8ce37a01bd69a2c4d1f8041e2bea2067f909df06fa50dc8732b55511c9e9f8ec
Description: GNU R package for ODBC database access
 This CRAN package provides access to any Open DataBase Connectivity (ODBC)
 accessible database.
 .
 The package should be platform independent and provide access to any
 database for which a driver exists.  It has been tested with MySQL
 and PostgreSQL on both Linux and Windows (and to those DBMSs on Linux
 hosts from R under Windows), Microsoft Access, SQL Server and Excel
 spreadsheets (read-only), and users have reported success with
 connections to Oracle and DBase.
 .
 Usage is covered in the R Data Import/Export manual (available via the
 r-doc-pdf, r-doc-html and r-doc-info packages).

Package: r-cran-rodbc
Priority: optional
Section: gnu-r
Installed-Size: 1028
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rodbc
Version: 1.3-4-1hardy0
Depends: libc6 (>= 2.4), r-base-core (>= 2.14.1), unixodbc (>= 2.2.11-1)
Suggests: libmyodbc, odbc-postgresql
Filename: hardy/r-cran-rodbc_1.3-4-1hardy0_amd64.deb
Size: 730070
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SHA256: dea8c0ac53deb25b522f7de262ccd556267033507961bb8e865c02f06ae4b4a9
Description: GNU R package for ODBC database access
 This CRAN package provides access to any Open DataBase Connectivity (ODBC)
 accessible database.
 .
 The package should be platform independent and provide access to any
 database for which a driver exists.  It has been tested with MySQL
 and PostgreSQL on both Linux and Windows (and to those DBMSs on Linux
 hosts from R under Windows), Microsoft Access, SQL Server and Excel
 spreadsheets (read-only), and users have reported success with
 connections to Oracle and DBase.
 .
 Usage is covered in the R Data Import/Export manual (available via the
 r-doc-pdf, r-doc-html and r-doc-info packages).

Package: r-base-core-dbg
Priority: extra
Section: debug
Installed-Size: 9456
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.12.1-1hardy1hardy3
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Filename: hardy/r-base-core-dbg_2.12.1-1hardy1hardy3_amd64.deb
Size: 2732608
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Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-cran-rodbc
Priority: optional
Section: gnu-r
Installed-Size: 1100
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rodbc
Version: 1.3-2-1hardy0
Depends: libc6 (>= 2.4), r-base-core (>= 2.11.1), unixodbc (>= 2.2.11-1)
Suggests: libmyodbc, odbc-postgresql
Filename: hardy/r-cran-rodbc_1.3-2-1hardy0_amd64.deb
Size: 774914
MD5sum: 4298d822e66163c34a029d4190acb777
SHA1: 9f9186958afe142e4db2d7173ecb0b567d2ada75
SHA256: f1706c3619d3d6b4ede20f3feae41353d56a43f4eb05f707172d9f0b1d6fe6ac
Description: GNU R package for ODBC database access
 This CRAN package provides access to any Open DataBase Connectivity (ODBC)
 accessible database.
 .
 The package should be platform independent and provide access to any
 database for which a driver exists.  It has been tested with MySQL
 and PostgreSQL on both Linux and Windows (and to those DBMSs on Linux
 hosts from R under Windows), Microsoft Access, SQL Server and Excel
 spreadsheets (read-only), and users have reported success with
 connections to Oracle and DBase.
 .
 Usage is covered in the R Data Import/Export manual (available via the
 r-doc-pdf, r-doc-html and r-doc-info packages).

Package: r-cran-rpart
Priority: optional
Section: gnu-r
Installed-Size: 408
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: rpart
Version: 3.1.48-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.1.3), r-base-core (>= 2.12.0), r-cran-survival
Filename: hardy/r-cran-rpart_3.1.48-1hardy0_i386.deb
Size: 155304
MD5sum: 761b34f5a7d450173aa1464c49e65ef6
SHA1: 849344ef32966d75678744adb3d8e353e5b3a0c0
SHA256: 88481b87ebef9c4ea852209199ff48833648fec3b0d11972341f6d3dd2fc1282
Description: GNU R package for recursive partitioning and regression trees
 This package provides functions to recursive partioning and regression trees.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL (of the S-Plus original): http://www.mayo.edu/hsr/Sfunc.html

Package: r-cran-spatial
Priority: optional
Section: gnu-r
Installed-Size: 372
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Version: 7.3-2-1hardy0
Replaces: r-cran-vr (<< 7.3-0)
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Filename: hardy/r-cran-spatial_7.3-2-1hardy0_amd64.deb
Size: 100010
MD5sum: dc998d11d184a218d517313ddf64ebe4
SHA1: e76067add5b217c516f948eced7b1502cdbc96be
SHA256: 01f66d443e3493f80df47e8b9246d339f3385045a77323d2bf88817c7d1944a0
Description: GNU R package for spatial statistics
 The spatial package provides functions and datasets to support
 chapter 15 on 'Spatial Statistic' in the book 'Modern Applied
 Statistics with S' (4th edition) by W.N. Venables and
 B.D. Ripley. The following URL provides more details about the book:
 URL: http://www.stats.ox.ac.uk/pub/MASS4
Homepage: http://cran.r-project.org/web/packages/spatial/index.html

Package: r-base-core
Priority: optional
Section: gnu-r
Installed-Size: 27208
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: r-base
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Provides: r-base-latex, r-cran-rcompgen, r-gnome
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libbz2-1.0, libc6 (>= 2.4), libcairo2 (>= 1.6.0), libgfortran2 (>= 4.2.1), libglib2.0-0 (>= 2.12.0), libice6 (>= 1:1.0.0), libjpeg62, liblapack3gf | liblapack.so.3gf | libatlas3gf-base, libpango1.0-0 (>= 1.20.5), libpaper-utils, libpcre3 (>= 7.4), libpng12-0 (>= 1.2.13-4), libreadline5 (>= 5.2), libsm6, libtiff4, libx11-6, libxext6, libxss1, libxt6, perl, tcl8.5 (>= 8.5.0), tk8.5 (>= 8.5.0), ucf (>= 3.0), unzip, xdg-utils, zip, zlib1g (>= 1:1.2.3.3.dfsg-1)
Recommends: r-base-dev, r-doc-html, r-recommended
Suggests: ess, r-base-html, r-doc-info | r-doc-pdf, r-mathlib
Conflicts: r-base-latex, r-cran-rcompgen, r-gnome
Filename: hardy/r-base-core_2.12.2-1hardy0_amd64.deb
Size: 14011908
MD5sum: ab7abfc0b94487fec0095b7e14bfda72
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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

Package: r-cran-mass
Priority: optional
Section: gnu-r
Installed-Size: 1188
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Version: 7.3-13-1hardy0
Replaces: r-cran-vr
Provides: r-cran-vr
Depends: libc6 (>= 2.1.3), r-base-core (>= 2.13.0)
Conflicts: r-cran-vr
Filename: hardy/r-cran-mass_7.3-13-1hardy0_i386.deb
Size: 826502
MD5sum: 95f24455a1549408dc1629b0aebda199
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SHA256: 6873de118ee4471a643755fdfe4fc855c39a0ff186579a5beda0b99728fcffd5
Description: GNU R package of Venables and Ripley's MASS
 The MASS package provides functions and datasets to support the book
 'Modern Applied Statistics with S' (4th edition) by W.N. Venables and
 B.D. Ripley. The following URL provides more details about the book:
 URL: http://www.stats.ox.ac.uk/pub/MASS4
Homepage: http://cran.r-project.org/web/packages/MASS/index.html

Package: r-base-core
Priority: optional
Section: gnu-r
Installed-Size: 29200
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Provides: r-base-latex, r-cran-rcompgen, r-gnome
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libbz2-1.0, libc6 (>= 2.4), libcairo2 (>= 1.6.0), libgfortran2 (>= 4.2.1), libglib2.0-0 (>= 2.12.0), libgomp1 (>= 4.2.1-4), libice6 (>= 1:1.0.0), libjpeg62, liblapack3gf | liblapack.so.3gf | libatlas3gf-base, libpango1.0-0 (>= 1.20.5), libpaper-utils, libpcre3 (>= 7.4), libpng12-0 (>= 1.2.13-4), libreadline5 (>= 5.2), libsm6, libtiff4, libx11-6, libxext6, libxss1, libxt6, tcl8.5 (>= 8.5.0), tk8.5 (>= 8.5.0), ucf (>= 3.0), unzip, xdg-utils, zip, zlib1g (>= 1:1.2.3.3.dfsg-1)
Recommends: r-base-dev, r-doc-html, r-recommended
Suggests: ess, r-base-html, r-doc-info | r-doc-pdf, r-mathlib
Conflicts: r-base-latex, r-cran-rcompgen, r-gnome
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Size: 15017672
MD5sum: b876b05a089b80b4a12aa1b2253820f1
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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over two thousand extension "packages" are available
 from CRAN, the Comprehensive R Archive Network, many also as Debian
 packages, named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

Package: r-cran-survival
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: survival
Version: 2.36-5-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.2.5), r-base-core (>= 2.12.1)
Filename: hardy/r-cran-survival_2.36-5-1hardy0_amd64.deb
Size: 2275364
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SHA256: cdc1507ce7c86b95eb5649cc9ccab3187419a6784f976f7f2f68d072f82f732b
Description: GNU R package for survival analysis
 This package provides functions and datasets for survival analysis:
 descriptive statistics, two-sample tests, parametric accelerated failure
 models, Cox model. Delayed entry (truncation) is allowed for all models;
 interval censoring for parametric models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-lattice
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Version: 0.20-0-1hardy0
Replaces: r-recommended (<< 1.9.0)
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Size: 697070
MD5sum: 6ead02d0aba71c427f203b1453ed818c
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Description: GNU R package for 'Trellis' graphics
 This package provides functions for 'Trellis' graphics -- a framework
 for data visualization developed at the Bell Labs by Rick Becker, Bill
 Cleveland et al, extending ideas presented in Bill Cleveland's 1993 book
 'Visualizing Data'.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: littler
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Section: gnu-r
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Description: GNU R scripting and command-line front-end
 The 'r' (aka 'littler') program provides a leightweight binary wrapper around
 the GNU R language and environment for statistical computing and graphics.
 .
 While R can be used in batch mode, the r binary adds full support for
 both 'shebang'-style scripting (i.e. using a  hashmark-exclamation-path
 expression as the first line in scripts) as well as command-line use in
 standard Unix pipelines. In other words, r provides the R language without
 the environment.

Package: r-cran-matrix
Priority: optional
Section: gnu-r
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Size: 2923400
MD5sum: cd10dd6dd9f99a90d8ca670310b044fd
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Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-cran-foreign
Priority: optional
Section: gnu-r
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Size: 159104
MD5sum: 0e31bd975e002709b1ad7672983e4fda
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Description: GNU R package to read/write data from other stat. systems
 This package provides functions for reading and writing data stored by
 statistical packages such as Minitab, S, SAS, SPSS, Stata, ...
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-matrix
Priority: optional
Section: gnu-r
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Version: 0.999375-46-1hardy0
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Filename: hardy/r-cran-matrix_0.999375-46-1hardy0_amd64.deb
Size: 3026122
MD5sum: c1c3fa06adefc1036a5cf958be62b77d
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SHA256: e66febbba9783853d5d892a369756261e952fc928552a847770ff4b95626c344
Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
 linear algebra using dense or sparse matrices.  The sparse matrix
 implementation uses code from the LDL sparse matrix package and
 code from the Metis package of partitioning algorithms.

Package: r-cran-rpart
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: rpart
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Replaces: r-recommended (<< 1.9.0)
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Size: 162266
MD5sum: d1fe3f4ed9a84290a657ae0d2af25f7a
SHA1: 677b13c7d1963ce95eab3b65cd655641632b3a7b
SHA256: 129b3b31d1034f586938b4fe79c1d43b566219a579fadee5c4420dc805106b39
Description: GNU R package for recursive partitioning and regression trees
 This package provides functions to recursive partioning and regression trees.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL (of the S-Plus original): http://www.mayo.edu/hsr/Sfunc.html

Package: r-cran-nnet
Priority: optional
Section: gnu-r
Installed-Size: 240
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Version: 7.3-1-1hardy0
Replaces: r-cran-vr (<< 7.3-0)
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Filename: hardy/r-cran-nnet_7.3-1-1hardy0_amd64.deb
Size: 61576
MD5sum: 3f51dae8c1f45e1404a1324ce32dafca
SHA1: 355404422ad2b2cc165b7e6d2351c93421c50b76
SHA256: 4cfa5d62618a308338b7ae2de3291e61fea2cd54599fbf5f6ca900453bde8722
Description: GNU R package for feed-forward neural networks
 Software for feed-forward neural networks with a single
 hidden layer, and for multinomial log-linear models
Homepage: http://cran.r-project.org/web/packages/nnet/index.html

Package: r-cran-rpart
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Section: gnu-r
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Size: 161716
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Description: GNU R package for recursive partitioning and regression trees
 This package provides functions to recursive partioning and regression trees.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL (of the S-Plus original): http://www.mayo.edu/hsr/Sfunc.html

Package: r-cran-cluster
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.2.5), libgfortran2 (>= 4.2.1), r-base-core (>= 2.12.0)
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Description: GNU R package for cluster analysis by Rousseeuw et al
 This package provides functions and datasets for cluster analysis originally
 written by Peter Rousseeuw, Anja Struyf and Mia Hubert.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-base-core-dbg
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Section: debug
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-base-core
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over two thousand extension "packages" are available
 from CRAN, the Comprehensive R Archive Network, many also as Debian
 packages, named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

Package: r-cran-matrix
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Version: 1.0-3-1hardy0
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Description: GNU R package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
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 code from the Metis package of partitioning algorithms.

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Section: gnu-r
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Description: GNU R package for (non-)linear mixed effects models
 This package provides functions to fit and compare linear and non-linear
 mixed-effects models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-doc-pdf
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Description: GNU R pdf manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in pdf format. The sibling packages
 r-doc-html and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: r-base-core
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

Package: r-cran-survival
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Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Version: 2.36-12-1hardy0
Replaces: r-recommended (<< 1.9.0)
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Description: GNU R package for survival analysis
 This package provides functions and datasets for survival analysis:
 descriptive statistics, two-sample tests, parametric accelerated failure
 models, Cox model. Delayed entry (truncation) is allowed for all models;
 interval censoring for parametric models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-cluster
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Section: gnu-r
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Description: GNU R package for cluster analysis by Rousseeuw et al
 This package provides functions and datasets for cluster analysis originally
 written by Peter Rousseeuw, Anja Struyf and Mia Hubert.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: python-rpy-doc
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Description: Python interface to the GNU R language (documentation package)
 This Debian package provides RPy, a very simple yet robust Python interface
 to the GNU R Programming Language. It can manage different types of R objects,
 and can execute arbitrary R functions, including graphic functions.
 .
 This Debian package contains documentation and examples from the rpy source
 package.
 .
 URL: http://rpy.sourceforge.net/

Package: r-cran-foreign
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Section: gnu-r
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Description: GNU R package to read/write data from other stat. systems
 This package provides functions for reading and writing data stored by
 statistical packages such as Minitab, S, SAS, SPSS, Stata, ...
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

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Recommends: r-base-dev, r-doc-html, r-recommended
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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

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Description: GNU R installation of auxiliary GNU R packages
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package ensures that other Debian packages needed for installation of
 some auxiliary R packages are installed.
Homepage: http://www.r-project.org/

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Section: gnu-r
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MD5sum: 35bab1524870091f40dc9658f33ed847
SHA1: 9e04e6c61f01caf295cb559f31398e3476c56da8
SHA256: 6e882143dffc12e524c4701138e8c1adbcd1f29db2bddc0dab2f17427803afd0
Description: GNU R collection of recommended packages [metapackage]
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This Debian package is now a metapackage that depends on a set of
 packages that are recommended by the upstream R core team as part of a
 complete R distribution, and distributed along with the source of R
 itself, as well as directly via the CRAN network of mirrors. This set
 comprises the following packages (listed in their upstream names):
  - KernSmooth: Functions for kernel smoothing for Wand & Jones (1995)
  - Matrix: Classes and methods for dense and sparse matrices and
    operations on them using Lapack and SuiteSparse
  - MASS, class, nnet and spatial: packages from Venables and Ripley,
    `Modern Applied Statistics with S' (4th edition).
  - boot: Bootstrap R (S-Plus) Functions from the book "Bootstrap Methods
    and Their Applications" by A.C. Davison and D.V. Hinkley (1997).
  - cluster: Functions for clustering (by Rousseeuw et al.)
  - codetools: Code analysis tools for R
  - foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, ...
  - lattice: Implementation of Trellis (R) graphics
  - mgcv: Multiple smoothing parameter estimation and GAMs by GCV
  - nlme: Linear and nonlinear mixed effects models
  - rpart: Recursive partitioning and regression trees
  - survival: Survival analysis, including penalised likelihood.
Homepage: http://www.r-project.org/

Package: r-cran-mgcv
Priority: optional
Section: gnu-r
Installed-Size: 1092
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: mgcv
Version: 1.7-3-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.7), libgfortran2 (>= 4.2.1), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 2.12.1), r-cran-matrix, r-cran-nlme
Filename: hardy/r-cran-mgcv_1.7-3-1hardy0_i386.deb
Size: 801938
MD5sum: ecf5685a24f5c53d55b07046007e0ca2
SHA1: 846a67d77873cf4aa7e1a5380a570b4e74d1dc97
SHA256: 5bb72febf55dd046d80e81a378903bb49662ea0ccbedef2d62823b43d71787c3
Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-nlme
Priority: optional
Section: gnu-r
Installed-Size: 2128
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: nlme
Version: 3.1.97-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.1.3), r-base-core (>= 2.11.1), r-cran-lattice (>= 0.12-11.1)
Filename: hardy/r-cran-nlme_3.1.97-1hardy0_i386.deb
Size: 1561064
MD5sum: d81c8c558599e02899244f3f0b1d475b
SHA1: 1401fdab0df548c2f0e3473a34ba7dfe68902642
SHA256: db31bd5e3832438fb7637d527913c38ffb1544b222874e719af29c0386aa487a
Description: GNU R package for (non-)linear mixed effects models
 This package provides functions to fit and compare linear and non-linear
 mixed-effects models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 1264
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.12.1-1hardy1
Depends: libc6 (>= 2.2.5)
Recommends: r-base-core (= 2.12.1-1hardy1), r-base-dev (= 2.12.1-1hardy1)
Filename: hardy/r-mathlib_2.12.1-1hardy1_amd64.deb
Size: 612594
MD5sum: a272c4b09317a32ea64a3c69d40203a5
SHA1: 256301a369de3f5c9bb3cf328672ad97c1bbd7d5
SHA256: 2b844eb8e16415566cf8490ca1595757f5e9c5b404c7cc11c2287e0044415d60
Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-cran-mgcv
Priority: optional
Section: gnu-r
Installed-Size: 1640
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: mgcv
Version: 1.7-12-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.7), libgfortran2 (>= 4.2.1), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 2.14.0), r-cran-matrix, r-cran-nlme
Filename: hardy/r-cran-mgcv_1.7-12-1hardy0_amd64.deb
Size: 1289636
MD5sum: c2049f0ce59b644a342bea9592984b5c
SHA1: 218d317fe6479020628d159a28c4ab18c6cbfa56
SHA256: 42fa29b7e62da7e5d6e693508e032d6944463a56d0471c671a6d00c148c44d6c
Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 1304
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.14.1-1hardy0
Depends: libc6 (>= 2.2.5), libgomp1
Recommends: r-base-core (= 2.14.1-1hardy0), r-base-dev (= 2.14.1-1hardy0)
Filename: hardy/r-mathlib_2.14.1-1hardy0_amd64.deb
Size: 646146
MD5sum: 25a4b200cf3e01f89d6a5cb7cae7030b
SHA1: aefdee6484e7281387e19a2e1477f4c8a34aa4af
SHA256: 7be41dcb75ed73b72dbf360efa2814c95b1e96890ad091bd6e02375b99df1fa7
Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: python-rpy
Priority: optional
Section: python
Installed-Size: 244
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rpy
Version: 1.0.3-17hardy0
Replaces: python2.2-rpy (<< 0.99.2-4), python2.3-rpy (<< 0.99.2-4), python2.4-rpy (<< 0.99.2-4)
Provides: python2.4-rpy, python2.5-rpy
Depends: libc6 (>= 2.2.5), python (>= 2.4), python (<< 2.6), python-central (>= 0.6.7), python-numpy, r-base-core (>= 2.12.1)
Suggests: python-rpy-docs
Conflicts: python2.2-rpy (<< 0.99.2-4), python2.3-rpy (<< 0.99.2-4), python2.4-rpy (<< 0.99.2-4)
Filename: hardy/python-rpy_1.0.3-17hardy0_amd64.deb
Size: 67140
MD5sum: 34137a6d7adaffdaf1eed2316dc3903c
SHA1: 7c24abfe8060eb1ae4e7d67f2cc1f66717996abb
SHA256: feae25bb89591613cea77138f78d7745e4e756acf60e8c4b6ad792370b1fffe3
Description: Python interface to the GNU R language and environment
 This Debian package provides RPy, a very simple yet robust Python interface
 to the GNU R Programming Language. It can manage different types of R objects,
 and can execute arbitrary R functions, including graphic functions.
 .
 URL: http://rpy.sourceforge.net/
Python-Version: 2.4, 2.5

Package: r-base
Priority: optional
Section: gnu-r
Installed-Size: 80
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Version: 2.12.1-1hardy1
Depends: r-base-core (>= 2.12.1-1hardy1), r-recommended (= 2.12.1-1hardy1)
Recommends: r-base-html, r-doc-html
Suggests: ess, r-doc-info | r-doc-pdf
Filename: hardy/r-base_2.12.1-1hardy1_all.deb
Size: 35198
MD5sum: 205d44bd61cd84f6dc616b960c9da1b0
SHA1: 0bc9b65f04dcc5fca32abb13d54302b7a8636a8c
SHA256: 7d5724c3b047af4fd745513fbe450b9d60c0eddf36408f3d9e0668d05fa0ecf3
Description: GNU R statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package is a metapackage which eases the transition from the
 pre-1.5.0 package setup with its larger r-base package. Once installed, it
 can be safely removed and apt-get will automatically upgrade its components
 during future upgrades.  Providing this package gives a way to users to
 then only install r-base-core if they so desire.
Homepage: http://www.r-project.org/

Package: r-cran-rodbc
Priority: optional
Section: gnu-r
Installed-Size: 1028
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rodbc
Version: 1.3-3-1hardy0
Depends: libc6 (>= 2.4), r-base-core (>= 2.13.1), unixodbc (>= 2.2.11-1)
Suggests: libmyodbc, odbc-postgresql
Filename: hardy/r-cran-rodbc_1.3-3-1hardy0_amd64.deb
Size: 731172
MD5sum: 5e38a854c64a4100a9f8b985d9b93709
SHA1: 1be4ac0972aa96516414a96b84e14614195aa02c
SHA256: ed624be91f2f1e091e2cf35fd0cd7c7329e1b34b0fda63da86a18facd7d23c16
Description: GNU R package for ODBC database access
 This CRAN package provides access to any Open DataBase Connectivity (ODBC)
 accessible database.
 .
 The package should be platform independent and provide access to any
 database for which a driver exists.  It has been tested with MySQL
 and PostgreSQL on both Linux and Windows (and to those DBMSs on Linux
 hosts from R under Windows), Microsoft Access, SQL Server and Excel
 spreadsheets (read-only), and users have reported success with
 connections to Oracle and DBase.
 .
 Usage is covered in the R Data Import/Export manual (available via the
 r-doc-pdf, r-doc-html and r-doc-info packages).

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 1264
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.12.1-1hardy
Depends: libc6 (>= 2.2.5)
Recommends: r-base-core (= 2.12.1-1hardy), r-base-dev (= 2.12.1-1hardy)
Filename: hardy/r-mathlib_2.12.1-1hardy_amd64.deb
Size: 611638
MD5sum: 1dfc3cf28d064a2ad5178d65be48fd8a
SHA1: 474d3a8b4a7dc6a5fbb076041fd824510a6df797
SHA256: 7d0a48bd96eebb3ff22e8c8196a7de65ebd45aaa5723573e04ab8b93afa9f715
Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: ess
Priority: optional
Section: gnu-r
Installed-Size: 11776
Maintainer: ESS Debian Maintainers <ess-debian@r-project.org>
Architecture: all
Version: 5.14-1hardy0
Depends: dpkg | install-info, emacs23 | emacs22 | emacs21 | emacsen
Suggests: jags, pspp, r-base | r-base-core, xlispstat
Conflicts: dhelp (<= 0.3.12)
Filename: hardy/ess_5.14-1hardy0_all.deb
Size: 5751744
MD5sum: 3fe85bc70f3d7a1b002f9468fdb2f824
SHA1: cc0d3ac1d6dca33bd0d2e7a322db669980e340b5
SHA256: 3d5f61ad6d00392edce4c7990543db338f2fcdc16476a62f4bdc722edbc71aeb
Description: Emacs mode for statistical programming and data analysis
 ESS ("Emacs Speaks Statistics") is a GNU Emacs and XEmacs mode for
 interactive statistical programming and data analysis. Languages
 supported are the S family (S 3/4, S-PLUS 3/4/5/6/7, and R), SAS,
 XLispStat, Stata, and BUGS.
 .
 ESS grew out of the desire for bug fixes and extensions to S-mode and
 SAS-mode as well as a consistent union of their features in one
 package.
Homepage: http://ess.r-project.org

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 1008
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
Version: 2.14.1-1hardy0
Depends: libc6 (>= 2.1.3), libgomp1
Recommends: r-base-core (= 2.14.1-1hardy0), r-base-dev (= 2.14.1-1hardy0)
Filename: hardy/r-mathlib_2.14.1-1hardy0_i386.deb
Size: 593626
MD5sum: 528cdcb6d45cfdf0d8311a36f7d66924
SHA1: b4e457fa38bdb02e2ec1bf3b06f1381c9b956ca7
SHA256: 2d843ff7c0766f2ab098d9f4b025d8e67f082a994d497e33f80359e887d352ab
Description: GNU R standalone mathematics library
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the libRmath shared and static libraries which can
 be called from standalone C or C++ code.
Homepage: http://www.r-project.org/

Package: r-base-core-dbg
Priority: extra
Section: debug
Installed-Size: 9676
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.13.1-1hardy2
Depends: r-base-core (= 2.13.1-1hardy2), r-base-dev (= 2.13.1-1hardy2)
Filename: hardy/r-base-core-dbg_2.13.1-1hardy2_amd64.deb
Size: 2781586
MD5sum: 097f5ee95f1ebe3c6e15806dc2d2679f
SHA1: 8c676b594b37093f632872e807f96a443561dc8d
SHA256: 1e6e6ec5257fa3fbeb2f0a24627899928cf5c0fc4892982df6579fb92e2ddd76
Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-base-core-dbg
Priority: extra
Section: debug
Installed-Size: 6644
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
Version: 2.13.1-1hardy2
Depends: r-base-core (= 2.13.1-1hardy2), r-base-dev (= 2.13.1-1hardy2)
Filename: hardy/r-base-core-dbg_2.13.1-1hardy2_i386.deb
Size: 2544444
MD5sum: bc319ed9e48b9457359ebbd8593aa254
SHA1: 9a461caa8a06bc545ecbe393965042609e453ef8
SHA256: 953f44a63608ef08f4d8db0e5f3d5b5cf1129bc154b785c3010be3503ccd71c5
Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-cran-mgcv
Priority: optional
Section: gnu-r
Installed-Size: 1160
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: mgcv
Version: 1.7-8-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.7), libgfortran2 (>= 4.2.1), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 2.13.2), r-cran-matrix, r-cran-nlme
Filename: hardy/r-cran-mgcv_1.7-8-1hardy0_i386.deb
Size: 852030
MD5sum: 88f95c17cd08ace7cdf5c0c3fa22e5bf
SHA1: 9e1b12dbf4b5d917b6290d662214654afa3a3e2d
SHA256: 0ed9878379a65b72c45b9f13ec8970b784d82c4587f4de71e4a8ac1d1fd48f46
Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-survival
Priority: optional
Section: gnu-r
Installed-Size: 2856
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: survival
Version: 2.36-12-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.2.5), r-base-core (>= 2.14.1)
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Description: GNU R package for survival analysis
 This package provides functions and datasets for survival analysis:
 descriptive statistics, two-sample tests, parametric accelerated failure
 models, Cox model. Delayed entry (truncation) is allowed for all models;
 interval censoring for parametric models.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-base-dev
Priority: optional
Section: gnu-r
Installed-Size: 36
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
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Suggests: cdbs, debhelper
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Description: GNU R installation of auxiliary GNU R packages
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package ensures that other Debian packages needed for installation of
 some auxiliary R packages are installed.
Homepage: http://www.r-project.org/

Package: r-doc-pdf
Priority: optional
Section: doc
Installed-Size: 88
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Description: GNU R pdf manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in pdf format. The sibling packages
 r-doc-html and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: r-cran-cluster
Priority: optional
Section: gnu-r
Installed-Size: 588
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: cluster
Version: 1.14.2-1hardy0
Replaces: r-recommended (<< 1.9.0)
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Description: GNU R package for cluster analysis by Rousseeuw et al
 This package provides functions and datasets for cluster analysis originally
 written by Peter Rousseeuw, Anja Struyf and Mia Hubert.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: littler
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Section: gnu-r
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Description: GNU R scripting and command-line front-end
 The 'r' (aka 'littler') program provides a leightweight binary wrapper around
 the GNU R language and environment for statistical computing and graphics.
 .
 While R can be used in batch mode, the r binary adds full support for
 both 'shebang'-style scripting (i.e. using a  hashmark-exclamation-path
 expression as the first line in scripts) as well as command-line use in
 standard Unix pipelines. In other words, r provides the R language without
 the environment.

Package: r-base-core
Priority: optional
Section: gnu-r
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Recommends: r-base-dev, r-doc-html, r-recommended
Suggests: ess, r-base-html, r-doc-info | r-doc-pdf, r-mathlib
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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over two thousand extension "packages" are available
 from CRAN, the Comprehensive R Archive Network, many also as Debian
 packages, named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

Package: r-base-core
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Recommends: r-base-dev, r-doc-html, r-recommended
Suggests: ess, r-base-html, r-doc-info | r-doc-pdf, r-mathlib
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Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over two thousand extension "packages" are available
 from CRAN, the Comprehensive R Archive Network, many also as Debian
 packages, named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

Package: r-recommended
Priority: optional
Section: gnu-r
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Description: GNU R collection of recommended packages [metapackage]
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This Debian package is now a metapackage that depends on a set of
 packages that are recommended by the upstream R core team as part of a
 complete R distribution, and distributed along with the source of R
 itself, as well as directly via the CRAN network of mirrors. This set
 comprises the following packages (listed in their upstream names):
  - KernSmooth: Functions for kernel smoothing for Wand & Jones (1995)
  - Matrix: Classes and methods for dense and sparse matrices and
    operations on them using Lapack and SuiteSparse
  - MASS, class, nnet and spatial: packages from Venables and Ripley,
    `Modern Applied Statistics with S' (4th edition).
  - boot: Bootstrap R (S-Plus) Functions from the book "Bootstrap Methods
    and Their Applications" by A.C. Davison and D.V. Hinkley (1997).
  - cluster: Functions for clustering (by Rousseeuw et al.)
  - codetools: Code analysis tools for R
  - foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, ...
  - lattice: Implementation of Trellis (R) graphics
  - mgcv: Multiple smoothing parameter estimation and GAMs by GCV
  - nlme: Linear and nonlinear mixed effects models
  - rpart: Recursive partitioning and regression trees
  - survival: Survival analysis, including penalised likelihood.
Homepage: http://www.r-project.org/

Package: r-cran-mass
Priority: optional
Section: gnu-r
Installed-Size: 1188
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Version: 7.3-16-1hardy0
Replaces: r-cran-vr
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SHA256: be15f4f059dec604d73d49138b143c64c78ae7936f21384c91005317a3aeb570
Description: GNU R package of Venables and Ripley's MASS
 The MASS package provides functions and datasets to support the book
 'Modern Applied Statistics with S' (4th edition) by W.N. Venables and
 B.D. Ripley. The following URL provides more details about the book:
 URL: http://www.stats.ox.ac.uk/pub/MASS4
Homepage: http://cran.r-project.org/web/packages/MASS/index.html

Package: r-cran-foreign
Priority: optional
Section: gnu-r
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Source: foreign
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Description: GNU R package to read/write data from other stat. systems
 This package provides functions for reading and writing data stored by
 statistical packages such as Minitab, S, SAS, SPSS, Stata, ...
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-lattice
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: lattice
Version: 0.20-0-1hardy0
Replaces: r-recommended (<< 1.9.0)
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Description: GNU R package for 'Trellis' graphics
 This package provides functions for 'Trellis' graphics -- a framework
 for data visualization developed at the Bell Labs by Rick Becker, Bill
 Cleveland et al, extending ideas presented in Bill Cleveland's 1993 book
 'Visualizing Data'.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-base-core-dbg
Priority: extra
Section: debug
Installed-Size: 6944
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
Version: 2.14.1-1hardy0
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Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-base-dev
Priority: optional
Section: gnu-r
Installed-Size: 36
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.13.1-1hardy0
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Suggests: debhelper
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Size: 3496
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Description: GNU R installation of auxiliary GNU R packages
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package ensures that other Debian packages needed for installation of
 some auxiliary R packages are installed.
Homepage: http://www.r-project.org/

Package: r-cran-cluster
Priority: optional
Section: gnu-r
Installed-Size: 524
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: cluster
Version: 1.14.0-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.2.5), libgfortran2 (>= 4.2.1), r-base-core (>= 2.13.0)
Filename: hardy/r-cran-cluster_1.14.0-1hardy0_amd64.deb
Size: 349056
MD5sum: ad3940834437e9d5d40b2fb04488780d
SHA1: 00f284799ace0f8656a9fac31a6f2a82549d109a
SHA256: b84e0db9907289b82aca5eb2b9791cb9540bf93b25af13bfd5dd139abd8fb7a7
Description: GNU R package for cluster analysis by Rousseeuw et al
 This package provides functions and datasets for cluster analysis originally
 written by Peter Rousseeuw, Anja Struyf and Mia Hubert.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-cran-mgcv
Priority: optional
Section: gnu-r
Installed-Size: 1116
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: mgcv
Version: 1.7-2-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.7), libgfortran2 (>= 4.2.1), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 2.12.0), r-cran-matrix, r-cran-nlme
Filename: hardy/r-cran-mgcv_1.7-2-1hardy0_amd64.deb
Size: 778216
MD5sum: 2f0f5dc2207fe50cac30e60e96d8ad42
SHA1: b27b124984682a53f8cdfd95d082f88aa4d54218
SHA256: 698f495b0087a4ae4af7d42a09aac2844249c2823b2aef7a8a94a52aed54c305
Description: GNU R package for multiple parameter smoothing estimation
 This package provides functions for generalised additive models (GAMs)
 and other generalized ridge regression problems with multiple smoothing
 parameter selection by GCV or UBRE. It includes an implementation (not
 a clone) of gam().
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.

Package: r-base
Priority: optional
Section: gnu-r
Installed-Size: 80
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Version: 2.12.2-1hardy0
Depends: r-base-core (>= 2.12.2-1hardy0), r-recommended (= 2.12.2-1hardy0)
Recommends: r-base-html, r-doc-html
Suggests: ess, r-doc-info | r-doc-pdf
Filename: hardy/r-base_2.12.2-1hardy0_all.deb
Size: 35166
MD5sum: 2c981d70a7d3f724df51a87532ba4e5d
SHA1: 4ff5ed8a50c79dd05b1110d8a6ce2cfa55e7fbf6
SHA256: c83018d82cb572cac88878ea33f6d5618f4c4682e223cd21d7d833f6f0412c1a
Description: GNU R statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package is a metapackage which eases the transition from the
 pre-1.5.0 package setup with its larger r-base package. Once installed, it
 can be safely removed and apt-get will automatically upgrade its components
 during future upgrades.  Providing this package gives a way to users to
 then only install r-base-core if they so desire.
Homepage: http://www.r-project.org/

Package: r-base-core-dbg
Priority: extra
Section: debug
Installed-Size: 10440
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.14.1-1hardy0
Depends: r-base-core (= 2.14.1-1hardy0), r-base-dev (= 2.14.1-1hardy0)
Filename: hardy/r-base-core-dbg_2.14.1-1hardy0_amd64.deb
Size: 2940094
MD5sum: aef63a3d71a084eb9ed0cc1f17fa1517
SHA1: 7a958c307f96aa35221f03bf233fdd0b5f15643e
SHA256: c85caa993257e196a2a917d32779b8fd8c681999ebe48aecd3755cd1eda2066b
Description: GNU R debug symbols for statistical comp. language and environment
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package contains debugging symbol tables for the binaries and dynamic
 libraries in the r-base-core package.
Homepage: http://www.r-project.org/

Package: r-base-core
Priority: optional
Section: gnu-r
Installed-Size: 26992
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.12.1-1hardy1
Replaces: r-base (<= 1.4.1-1), r-base-latex (<= 2.9.2-4), r-cran-rcompgen (<= 0.1-17-1), r-gnome (<= 2.3.1), r-recommended (<< 1.9.0)
Provides: r-base-latex, r-cran-rcompgen, r-gnome
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libbz2-1.0, libc6 (>= 2.4), libcairo2 (>= 1.6.0), libgfortran2 (>= 4.2.1), libglib2.0-0 (>= 2.12.0), libice6 (>= 1:1.0.0), libjpeg62, liblapack3gf | liblapack.so.3gf | libatlas3gf-base, libpango1.0-0 (>= 1.20.5), libpaper-utils, libpcre3 (>= 7.4), libpng12-0 (>= 1.2.13-4), libreadline5 (>= 5.2), libsm6, libtiff4, libx11-6, libxt6, perl, ucf (>= 3.0), unzip, xdg-utils, zip, zlib1g (>= 1:1.2.3.3.dfsg-1)
Recommends: r-base-dev, r-doc-html, r-recommended
Suggests: ess, r-base-html, r-doc-info | r-doc-pdf, r-mathlib
Conflicts: r-base-latex, r-cran-rcompgen, r-gnome
Filename: hardy/r-base-core_2.12.1-1hardy1_amd64.deb
Size: 13928034
MD5sum: 9e2ca89db530bc918d7b61de281bd292
SHA1: 2ff58658a90af5d901a7fe170bc3b09944c3ed12
SHA256: 27a59df4418ae38c9258bc1349d2ca45168b09525c8bc4403a50f4ec9f42d9ed
Description: GNU R core of statistical computation and graphics system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the core GNU R system from which only the optional
 documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info
 have been split off to somewhat reduce the size of this package.
Homepage: http://www.r-project.org/

Package: r-doc-html
Priority: optional
Section: doc
Installed-Size: 2460
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.14.0-1hardy0
Replaces: r-base (<= 1.4.1-1)
Suggests: mozilla | www-browser, r-base-core
Filename: hardy/r-doc-html_2.14.0-1hardy0_all.deb
Size: 626436
MD5sum: 29c56f37086245f2b662ef57c67639db
SHA1: 15a412d01cf8a64b4050adf389da10b52f84184e
SHA256: 890524dc18664c4656a49038be6a5a78251e6ddbcf5da51ad3dcf07b0889896d
Description: GNU R html manuals for statistical computing system
 R is a system for statistical computation and graphics.  It consists
 of a language plus a run-time environment with graphics, a debugger,
 access to certain system functions, and the ability to run programs
 stored in script files.
 .
 The design of R has been heavily influenced by two existing languages:
 Becker, Chambers & Wilks' S and Sussman's Scheme.  Whereas the
 resulting language is very similar in appearance to S, the underlying
 implementation and semantics are derived from Scheme.
 .
 The core of R is an interpreted computer language which allows
 branching and looping as well as modular programming using functions.
 Most of the user-visible functions in R are written in R.  It is
 possible for the user to interface to procedures written in the
 C, C++, or FORTRAN languages for efficiency, and many of R's core
 functions do so.  The R distribution contains functionality for a
 large number of statistical procedures and underlying applied math
 computations.  There is also a large set of functions which provide
 a flexible graphical environment for creating various kinds of data
 presentations.
 .
 Additionally, over thousand extension "packages" are available from
 CRAN, the Comprehensive R Archive Network, many also as Debian packages,
 named 'r-cran-<name>'.
 .
 This package provides the R manuals in html format. The sibling packages
 r-doc-pdf and r-doc-info provides the same manuals.
Homepage: http://www.r-project.org/

Package: littler
Priority: optional
Section: gnu-r
Installed-Size: 180
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Version: 0.1.4-1hardy0
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.4), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 2.13.1)
Suggests: r-cran-getopt
Filename: hardy/littler_0.1.4-1hardy0_i386.deb
Size: 31964
MD5sum: ab7e43422bf6462e3b6e17af1d0150db
SHA1: e92ef9185a2bb299395c29d9add920b939eeace8
SHA256: 43bbdb6a2f9a1fe4815c1bf4ab979d442adc325a8b8eb9549df71db09b3c114e
Description: GNU R scripting and command-line front-end
 The 'r' (aka 'littler') program provides a leightweight binary wrapper around
 the GNU R language and environment for statistical computing and graphics.
 .
 While R can be used in batch mode, the r binary adds full support for
 both 'shebang'-style scripting (i.e. using a  hashmark-exclamation-path
 expression as the first line in scripts) as well as command-line use in
 standard Unix pipelines. In other words, r provides the R language without
 the environment.

Package: r-cran-boot
Priority: optional
Section: gnu-r
Installed-Size: 692
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: boot
Version: 1.3-1-1hardy0
Replaces: r-recommended (<< 1.9.0)
Depends: r-base-core (>= 2.13.0)
Filename: hardy/r-cran-boot_1.3-1-1hardy0_all.deb
Size: 449060
MD5sum: f1cc1ba8b0d3315b5fb328efaf6a19ef
SHA1: aa69e3fb66464cb05d4f0e094ac4676d87cc5a97
SHA256: 1f78335f21a7d78d511c25040fec420ba00de6ca6471cd7af6165b1f2e1868ec
Description: GNU R package for bootstrapping functions from Davison and Hinkley
 This package provides functions and datasets from the book "Bootstrap Methods
 and Their Applications" by A. C. Davison and D. V. Hinkley (1997, CUP). It was
 witten by Angelo Canty, and ported to R by Brian Ripley.
 .
 This package is part of the set of packages that are 'recommended'
 by R Core and shipped with upstream source releases of R itself.
 .
 URL: http://statwww.epfl.ch/davison/BMA/library.html