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Description: GNU R package "Bayesian graphical models using MCMC"
 .
 Interface to the JAGS MCMC library
 .
 Author: Martyn Plummer [aut, cre]
 .
 Maintainer: Martyn Plummer <plummerm@iarc.fr>
Homepage: http://mcmc-jags.sourceforge.net

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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 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/

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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 package providing code analysis tools
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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:
 URL: http://www.stats.ox.ac.uk/pub/MASS4
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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 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
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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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 by R Core and shipped with upstream source releases of R itself.

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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 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 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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Homepage: http://rpy.sourceforge.net/

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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
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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'
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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, several 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 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: python-rpy2
Priority: optional
Section: python
Installed-Size: 634
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rpy2
Version: 2.3.6-1precise0
Provides: python2.7-rpy2
Depends: libc6 (>= 2.14), python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-numpy, r-base-core (>= 3.0.0)
Suggests: python-rpy-docs
Filename: precise/python-rpy2_2.3.6-1precise0_amd64.deb
Size: 145364
MD5sum: 1fc30d3259bce80b8bb5716544a93171
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SHA256: 7a45753beaadd113cf1baa7574707486f90ea1b0556de5fb5409d617f7488bdf
Description: Python interface to the GNU R language and environment (version 2)
 This Debian package provides RPy2, 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.
 Rpy2 is a rewrite and extension of the older RPy interface.
Homepage: http://rpy.sourceforge.net/

Package: r-cran-mass
Priority: optional
Section: gnu-r
Installed-Size: 1349
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Version: 7.3-26-1precise0
Replaces: r-cran-vr
Provides: r-cran-vr
Depends: libc6 (>= 2.2.5), r-base-core (>= 3.0.0-2precise)
Conflicts: r-cran-vr
Filename: precise/r-cran-mass_7.3-26-1precise0_amd64.deb
Size: 1047696
MD5sum: 0e642a5935c36ed8aa2cb1fe56a52296
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SHA256: 9088ff96a526c306851c41fac6e23fed36ef59db2cc5ceea7fd0493ff4ded982
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-dev
Priority: optional
Section: gnu-r
Installed-Size: 33
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 3.0.0-2precise
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Suggests: debhelper, texlive-base, texlive-latex-base, texlive-generic-recommended, texlive-fonts-recommended, texlive-fonts-extra, texlive-extra-utils, texlive-latex-recommended, texlive-latex-extra, texinfo, texi2html
Filename: precise/r-base-dev_3.0.0-2precise_all.deb
Size: 3894
MD5sum: 44a6ccd80ccc92d80fc081e3638e0056
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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, several 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: python-rpy-doc
Priority: optional
Section: doc
Installed-Size: 396
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: rpy
Version: 1.0.3-26precise0
Replaces: python-rpy-docs
Provides: python-rpy-docs
Depends: dpkg | install-info
Conflicts: python-rpy-docs
Filename: precise/python-rpy-doc_1.0.3-26precise0_all.deb
Size: 250806
MD5sum: f79e4e6914b22c3e911d2ae25d104c49
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SHA256: a08e63017387ca75922680ae12f5eb70d5c5db06ee9defe6870aae22811ed1ad
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
Priority: optional
Section: gnu-r
Installed-Size: 498
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: foreign
Version: 0.8.52-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.14), r-base-core (>= 2.15.2-1precise0)
Filename: precise/r-cran-foreign_0.8.52-1precise0_amd64.deb
Size: 225210
MD5sum: a97cabb1d67beea8559d25d06dbe64bf
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SHA256: 5b5a84503f24313f372848e0d87ce78e7a6b77234c01bc06c0ee38f1a52e38f5
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: ess
Priority: optional
Section: gnu-r
Installed-Size: 5188
Maintainer: ESS Debian Maintainers <ess-debian@r-project.org>
Architecture: all
Version: 12.04-1-1precise0
Depends: dpkg (>= 1.15.4) | install-info, emacs23 | emacs22 | emacs21 | emacsen
Suggests: xlispstat, r-base | r-base-core, pspp, jags
Conflicts: dhelp (<= 0.3.12)
Filename: precise/ess_12.04-1-1precise0_all.deb
Size: 1591584
MD5sum: a8e6dc7e17bf6810368e8ce1f7fe5df2
SHA1: 1331ff20c99daa826a7a4fae89f65f65b9c2dcca
SHA256: 6bd032c475fb83c5f03d82cdf5c5684f59b7b07377bb9942650e0e3d6fa9bdac
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-rpart
Priority: optional
Section: gnu-r
Installed-Size: 551
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: rpart
Version: 4.0-1-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.1.3), r-base-core (>= 2.15.2-1precise0), r-cran-survival
Filename: precise/r-cran-rpart_4.0-1-1precise0_i386.deb
Size: 361886
MD5sum: 0fae7d0db4feb07c32ebf289d62dc235
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SHA256: 4d0fdebe3a6c991fc9eba3728e8033460b1255430f287c32780793c4f984e000
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-doc-pdf
Priority: optional
Section: doc
Installed-Size: 76
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 3.0.1-1precise0
Suggests: r-base-core, xdg-utils | pdf-viewer
Filename: precise/r-doc-pdf_3.0.1-1precise0_all.deb
Size: 37702
MD5sum: f0d38fe64a848871063ffbd0e3b270ae
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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, several 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: ess
Priority: optional
Section: gnu-r
Installed-Size: 5442
Maintainer: ESS Debian Maintainers <ess-debian@r-project.org>
Architecture: all
Version: 13.05-1precise0
Depends: dpkg (>= 1.15.4) | install-info, emacs23 | emacs22 | emacs21 | emacsen
Suggests: xlispstat, r-base | r-base-core, pspp, jags
Conflicts: dhelp (<= 0.3.12)
Filename: precise/ess_13.05-1precise0_all.deb
Size: 1670062
MD5sum: eb7e970714a77d34a77bedf5137420c9
SHA1: 9a8bd57cb7f63a75a7603b3a3c136fea5eb3dfcd
SHA256: cdc14b4b033f39a4c8fc5827685af3beb1c594447f9748aa070718f8f3f600ed
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, BUGS and Julia.
 .
 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-base-core
Priority: optional
Section: gnu-r
Installed-Size: 31655
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 3.0.1-1precise0
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Provides: r-base-latex, r-cran-rcompgen, r-gnome
Depends: zip, unzip, libpaper-utils, xdg-utils, libblas3gf | libblas.so.3gf | libatlas3gf-base, libbz2-1.0, libc6 (>= 2.15), libcairo2 (>= 1.6.0), libgfortran3 (>= 4.3), libglib2.0-0 (>= 2.12.0), libgomp1 (>= 4.2.1), libjpeg8 (>= 8c), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, liblzma5 (>= 5.1.1alpha+20110809), libpango1.0-0 (>= 1.14.0), libpcre3 (>= 8.10), libpng12-0 (>= 1.2.13-4), libreadline6 (>= 6.0), libtiff4, libx11-6, libxt6, tcl8.5 (>= 8.5.0), tk8.5 (>= 8.5.0), ucf (>= 3.0)
Recommends: r-recommended, r-base-dev, r-doc-html
Suggests: ess, r-doc-info | r-doc-pdf, r-mathlib, r-base-html
Conflicts: r-base-latex, r-cran-rcompgen, r-gnome
Filename: precise/r-base-core_3.0.1-1precise0_amd64.deb
Size: 22122688
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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, several 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-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 1289
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: r-base
Version: 2.15.3-1precise0precise1
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Size: 680452
MD5sum: d1eff0457fb448dce86edeafe0010391
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SHA256: e28edb713db038bd1d04ef0794e062b1ce6230f3edb438796b269d13feaabb35
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: 4681
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rmatrix
Version: 1.0-10-1precise0
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.14), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 2.15.1-1precise2), r-cran-lattice (>= 0.12-11.1)
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Size: 3101096
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SHA256: bdc5d511fc5f04ef1284772509b799554f41c3793e53fb6879f64984bf4ab55e
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-codetools
Priority: optional
Section: gnu-r
Installed-Size: 105
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: codetools
Version: 0.2-8-1precise0
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Size: 44954
MD5sum: 76eb88f43e03c1ad797adf78d3d7dbfb
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SHA256: 432e9466bf8f4c05920da22e425b7cdfa2089b55e0f8f1553985bc2d2a2a243e
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-lattice
Priority: optional
Section: gnu-r
Installed-Size: 914
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: lattice
Version: 0.20-15-1precise0
Replaces: r-recommended (<< 1.9.0)
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Size: 719542
MD5sum: 1f25bb8acf4b05a3609cf8b09ef06ab3
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SHA256: 308b9aac56673d2135890d2785dd6ff3638eaab0b1dbec91655d017d50697222
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-rodbc
Priority: optional
Section: gnu-r
Installed-Size: 946
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: rodbc
Version: 1.3-6-1precise0
Depends: libc6 (>= 2.4), libodbc1 (>= 2.2.11) | unixodbc (>= 2.2.11), r-base-core (>= 2.15.1-1precise2)
Suggests: odbc-postgresql, libmyodbc
Filename: precise/r-cran-rodbc_1.3-6-1precise0_i386.deb
Size: 739560
MD5sum: f10003c1a9859ef89a71f2327209b48d
SHA1: 2037207839aa308dee2f56f8b405da0126a20e09
SHA256: 83034e7b4a7d0f4871fe76f8860931adaf5d96be7f7f6961835a74e9e0f8ce36
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: 2.15.0-1precise0
Depends: libc6 (>= 2.3.4)
Recommends: r-base-core (= 2.15.0-1precise0), r-base-dev (= 2.15.0-1precise0)
Filename: precise/r-mathlib_2.15.0-1precise0_amd64.deb
Size: 667502
MD5sum: e83dcf8024c24c93f1f3037ee75da547
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SHA256: f8078c354ad24907927f404bb43a11fadc3160591c2d83388cae45bde3d9c7e5
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
Priority: optional
Section: gnu-r
Installed-Size: 946
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: rodbc
Version: 1.3-6-2precise0precise0
Depends: libc6 (>= 2.4), libodbc1 (>= 2.2.11) | unixodbc (>= 2.2.11), r-base-core (>= 3.0.0-2precise)
Suggests: odbc-postgresql, libmyodbc
Filename: precise/r-cran-rodbc_1.3-6-2precise0precise0_i386.deb
Size: 737836
MD5sum: 4b11fcfd7c941214a6a077abd0ec1642
SHA1: 00cfe520a6bb82812e04e252ace96f6e0c4c98d2
SHA256: 171f61db0692f7699a0bdd2e7839ac17273b0a00223f2300bc57aac90e3b1f88
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: 7727
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
Version: 3.0.0-2precise
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Filename: precise/r-base-core-dbg_3.0.0-2precise_i386.deb
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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, several 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: 1643
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: mgcv
Version: 1.7-24-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.4), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 3.0.1-3precise), r-cran-nlme, r-cran-matrix
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Size: 1425690
MD5sum: 3532604d704b11f9a8d9b70c9d1267e8
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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-rjags
Priority: optional
Section: gnu-r
Installed-Size: 188
Maintainer: Chris Lawrence <lawrencc@debian.org>
Architecture: i386
Version: 3.10-1precise0
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Description: R interface to the JAGS Bayesian statistics package
 rjags allows calling JAGS code from R to estimate Bayesian
 statistical models using Gibbs sampling.  Coupled with the coda
 package, it allows the researcher to set up data in R, run a model
 specified in the JAGS/BUGS language on the data, and then conduct
 post-estimation analysis using R's tools.
Homepage: http://calvin.iarc.fr/~martyn/software/jags/

Package: ess
Priority: optional
Section: gnu-r
Installed-Size: 5191
Maintainer: ESS Debian Maintainers <ess-debian@r-project.org>
Architecture: all
Version: 12.04-3-1precise0
Depends: dpkg (>= 1.15.4) | install-info, emacs23 | emacs22 | emacs21 | emacsen
Suggests: xlispstat, r-base | r-base-core, pspp, jags
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Filename: precise/ess_12.04-3-1precise0_all.deb
Size: 1597196
MD5sum: 55199d799b614a4e51e237b0850f9dc9
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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-base-core
Priority: optional
Section: gnu-r
Installed-Size: 30682
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Provides: r-base-latex, r-cran-rcompgen, r-gnome
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Recommends: r-recommended, r-base-dev, r-doc-html
Suggests: ess, r-doc-info | r-doc-pdf, r-mathlib, r-base-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/

Package: r-cran-survival
Priority: optional
Section: gnu-r
Installed-Size: 2755
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: survival
Version: 2.36-14-1precise0
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-html
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Version: 3.0.1-3precise
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Suggests: r-doc-html, mozilla | www-browser
Filename: precise/r-base-html_3.0.1-3precise_all.deb
Size: 92836
MD5sum: 6915a916bc1b60665fc00fc58d9183c7
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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, several 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
Priority: optional
Section: doc
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: r-base
Version: 2.15.1-1precise2
Replaces: r-base (<= 1.4.1-1)
Depends: dpkg (>= 1.15.4) | install-info
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Size: 543398
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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-core
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Recommends: r-recommended, r-base-dev, r-doc-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, several 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-rpart
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Section: gnu-r
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Source: rpart
Version: 4.0-3-1precise0
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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-fregression
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Section: gnu-r
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Description: GNU R package for financial engineering -- fRegression
 This package provides functions for regression-based decision and prediction
 and is part of Rmetrics, a collection of packages for financial engineering
 and computational finance written and compiled by Diethelm Wuertz and others.
 .
 fRegression provides functions for regression-based decision and prediction.
Homepage: http://www.Rmetrics.org

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-mgcv
Priority: optional
Section: gnu-r
Installed-Size: 1562
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: mgcv
Version: 1.7-21-1precise0
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Size: 1381082
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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: Python interface to the GNU R language and environment (version 2)
 This Debian package provides RPy2, 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.
 Rpy2 is a rewrite and extension of the older RPy interface.
Homepage: http://rpy.sourceforge.net/

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, several 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-lattice
Priority: optional
Section: gnu-r
Installed-Size: 905
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: lattice
Version: 0.20-6-1precise0
Replaces: r-recommended (<< 1.9.0)
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Size: 709656
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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: python-rpy
Priority: optional
Section: python
Installed-Size: 131
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Provides: python2.7-rpy
Depends: libc6 (>= 2.3.4), python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-numpy, r-base-core (>= 2.15.0)
Suggests: python-rpy-docs
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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: 2.7

Package: r-doc-html
Priority: optional
Section: doc
Installed-Size: 2438
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.15.3-1precise0precise1
Replaces: r-base (<= 1.4.1-1)
Suggests: r-base-core, mozilla | www-browser
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Size: 646728
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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
Priority: extra
Section: debug
Installed-Size: 7294
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Size: 2979788
MD5sum: 7ddcb9438b59e9206cddbf8824bd77a8
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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: python-rpy2
Priority: optional
Section: python
Installed-Size: 609
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: rpy2
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Suggests: python-rpy-docs
Filename: precise/python-rpy2_2.3.6-1precise0_i386.deb
Size: 140320
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Description: Python interface to the GNU R language and environment (version 2)
 This Debian package provides RPy2, 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.
 Rpy2 is a rewrite and extension of the older RPy interface.
Homepage: http://rpy.sourceforge.net/

Package: r-base-core
Priority: optional
Section: gnu-r
Installed-Size: 31167
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: r-base
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Recommends: r-recommended, r-base-dev, r-doc-html
Suggests: ess, r-doc-info | r-doc-pdf, r-mathlib, r-base-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, several 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-class
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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

Package: r-cran-rpart
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Version: 3.1.52-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.2.5), r-base-core (>= 2.15.0-1precise0), r-cran-survival
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Size: 170406
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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: ess
Priority: optional
Section: gnu-r
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Version: 12.04-1precise0
Depends: dpkg (>= 1.15.4) | install-info, emacs23 | emacs22 | emacs21 | emacsen
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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-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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SHA256: 2aad197eabaa7eec1a343b11bf38fa8309baff5b372077d27871e8e113332ee7
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, several 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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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-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: 628464
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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-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-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.

Package: r-cran-foreign
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Size: 179140
MD5sum: 38252de82b82d539ca86ed5c91c4d2b8
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SHA256: 61055acc801097148256511121cea3d9653584dc08460efef04227c3a62e5de9
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-spatial
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Section: gnu-r
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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:
 URL: http://www.stats.ox.ac.uk/pub/MASS4
Homepage: http://cran.r-project.org/web/packages/spatial/index.html

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, several 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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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.

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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 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 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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 This Debian package provides RPy2, a very simple yet robust Python interface
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 Rpy2 is a rewrite and extension of the older RPy interface.
Homepage: http://rpy.sourceforge.net/

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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
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 .
 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 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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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

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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 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, several 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
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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)
 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 (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.

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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 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-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 1304
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 3.0.1-1precise0
Depends: libc6 (>= 2.3.4)
Recommends: r-base-core (= 3.0.1-1precise0), r-base-dev (= 3.0.1-1precise0)
Filename: precise/r-mathlib_3.0.1-1precise0_amd64.deb
Size: 698508
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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, several 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: 1630
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: mgcv
Version: 1.7-22-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.4), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 2.15.1-1precise2), r-cran-nlme, r-cran-matrix
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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-base-html
Priority: extra
Section: doc
Installed-Size: 586
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
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Replaces: r-base (<= 1.4.1-1), r-recommended (<< 1.9.0)
Depends: r-base-core
Suggests: r-doc-html, mozilla | www-browser
Filename: precise/r-base-html_2.15.2-1precise0_all.deb
Size: 91470
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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-mass
Priority: optional
Section: gnu-r
Installed-Size: 1099
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Version: 7.3-17-1precise0
Replaces: r-cran-vr
Provides: r-cran-vr
Depends: libc6 (>= 2.2.5), r-base-core (>= 2.14.1)
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Filename: precise/r-cran-mass_7.3-17-1precise0_amd64.deb
Size: 830824
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SHA256: b9881bc14044c57de730a5eb90b93fe90569c796803b466d6c4ec9786ce95259
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
Installed-Size: 503
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: foreign
Version: 0.8.53-2precise0
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-recommended
Priority: optional
Section: gnu-r
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Size: 2670
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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, several 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-latticeextra
Priority: optional
Section: gnu-r
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Description: GNU R package of additional graphical displays based on lattice
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 for trellis-based displays.

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Section: gnu-r
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Source: rpart
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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-rodbc
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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-cran-survival
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Section: gnu-r
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Source: survival
Version: 2.37-4-2precise0
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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-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, several 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: python-rpy-doc
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Size: 250460
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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-kernsmooth
Priority: optional
Section: gnu-r
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Source: kernsmooth
Version: 2.23-7-1precise0
Replaces: r-recommended (<< 1.9.0)
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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, several 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
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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, several 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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 This Debian package provides RPy, a very simple yet robust Python interface
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 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: 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-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 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

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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, several 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: python-rpy
Priority: optional
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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: 2.7

Package: r-mathlib
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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, several 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-nnet
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Description: GNU R package for feed-forward neural networks
 The nnet package provides functions and datasets to support
 feed-forward neural networks with a single hidden layer, and
 multinomial log-linear models, as discussed 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/nnet/index.html

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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, BUGS and Julia.
 .
 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

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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, several 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
 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 (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.

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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

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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:
 URL: http://www.stats.ox.ac.uk/pub/MASS4
Homepage: http://cran.r-project.org/web/packages/spatial/index.html

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Section: math
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Description: Just Another Gibbs Sampler for Bayesian MCMC simulation
 JAGS is Just Another Gibbs Sampler.  It is a program for analysis of
 Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC)
 simulation  not wholly unlike BUGS.
 .
 JAGS was written with three aims in mind:
  * To have an engine for the BUGS language that runs on Unix
  * To be extensible, allowing users to write their own functions,
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  * To be a plaftorm for experimentation with ideas in Bayesian modelling
Homepage: http://www-fis.iarc.fr/~martyn/software/jags/

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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-rjags
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Description: GNU R package "Bayesian graphical models using MCMC"
 .
 Interface to the JAGS MCMC library
 .
 Author: Martyn Plummer [aut, cre]
 .
 Maintainer: Martyn Plummer <plummerm@iarc.fr>
Homepage: http://mcmc-jags.sourceforge.net

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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

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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: python-rpy
Priority: optional
Section: python
Installed-Size: 131
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rpy
Version: 1.0.3-23precise0
Replaces: python2.2-rpy (<< 0.99.2-4), python2.3-rpy (<< 0.99.2-4), python2.4-rpy (<< 0.99.2-4)
Provides: python2.7-rpy
Depends: libc6 (>= 2.3.4), python (<< 2.8), python (>= 2.7.1-0ubuntu2), python-numpy (>= 1:1.6.1), python-numpy-abi9, python2.7, r-base-core (>= 2.15.2)
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)
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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: 2.7

Package: r-cran-class
Priority: optional
Section: gnu-r
Installed-Size: 179
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Version: 7.3-3-1precise0
Replaces: r-cran-vr (<< 7.3-0)
Depends: libc6 (>= 2.1.3), r-base-core (>= 2.12.0), r-cran-mass
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SHA256: ab3f5c2c2cad50c8ffe2d1486807e13c6abbde6070f76d5bafb2321273eac0e8
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

Package: r-cran-survival
Priority: optional
Section: gnu-r
Installed-Size: 2788
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: survival
Version: 2.36-14-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.2.5), r-base-core (>= 2.15.0-1precise0)
Filename: precise/r-cran-survival_2.36-14-1precise0_amd64.deb
Size: 2591432
MD5sum: f8d4bbd89a3e070a30e8fb31dd4fa2f5
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SHA256: df208816a964a3a07879becc6c55345ee884bd713b8580c88bcfd3991581d011
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-rpart
Priority: optional
Section: gnu-r
Installed-Size: 1178
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rpart
Version: 4.1-1-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.14), r-base-core (>= 2.15.3-1precise0precise1), r-cran-survival
Filename: precise/r-cran-rpart_4.1-1-1precise0_amd64.deb
Size: 878526
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SHA256: 3b68dc70111a4f4f0eaa08a76589896a5de8232a06db350ae4af299800a0540f
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-matrix
Priority: optional
Section: gnu-r
Installed-Size: 4572
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: rmatrix
Version: 1.0-10-1precise0
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.7), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 2.15.1-1precise2), r-cran-lattice (>= 0.12-11.1)
Filename: precise/r-cran-matrix_1.0-10-1precise0_i386.deb
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SHA256: e27c169a1e202490fa079113c0c6c7c8477e125729fc400f89660cd05489e841
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-rjags
Priority: optional
Section: gnu-r
Installed-Size: 188
Maintainer: cran2deb4ubuntu <cran2deb4ubuntu@gmail.com>
Architecture: amd64
Source: rjags
Version: 3-5-1cran1precise0
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Filename: precise/r-cran-rjags_3-5-1cran1precise0_amd64.deb
Size: 88562
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SHA256: 4639b493238dc18e5958c4a685e4319d45f0216088a62d5a07eef525503955af
Description: GNU R package "Bayesian graphical models using MCMC"
 .
 Interface to the JAGS MCMC library
 .
 Author: Martyn Plummer
 .
 Maintainer: Martyn Plummer <plummerM@iarc.fr>
Homepage: http://mcmc-jags.sourceforge.net

Package: r-doc-pdf
Priority: optional
Section: doc
Installed-Size: 9314
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.15.1-1precise2
Suggests: r-base-core, xdg-utils | pdf-viewer
Filename: precise/r-doc-pdf_2.15.1-1precise2_all.deb
Size: 8333096
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SHA256: 15251c8fc3082445db1d5522ae14008d6bb744e8a39cebf472c76ab8453e65d6
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: ess
Priority: optional
Section: gnu-r
Installed-Size: 5269
Maintainer: ESS Debian Maintainers <ess-debian@r-project.org>
Architecture: all
Version: 12.09-1precise0
Depends: dpkg (>= 1.15.4) | install-info, emacs23 | emacs22 | emacs21 | emacsen
Suggests: xlispstat, r-base | r-base-core, pspp, jags
Conflicts: dhelp (<= 0.3.12)
Filename: precise/ess_12.09-1precise0_all.deb
Size: 1629124
MD5sum: f05a564d08b78303e1a0636d3db34164
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SHA256: c134caf29b35b4b0a9a195643fc544f0d3c004219828a966f75495e882a20606
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-latticeextra
Priority: optional
Section: gnu-r
Installed-Size: 2167
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: latticeextra
Version: 0.6-24-2precise0
Depends: r-base-core (>= 3.0.0-2precise), r-cran-lattice, r-cran-rcolorbrewer
Filename: precise/r-cran-latticeextra_0.6-24-2precise0_amd64.deb
Size: 2063890
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Description: GNU R package of additional graphical displays based on lattice
 This CRAN package provides generic functions and standard methods
 for trellis-based displays.

Package: r-base
Priority: optional
Section: gnu-r
Installed-Size: 71
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Version: 3.0.1-1precise0precise2
Depends: r-base-core (>= 3.0.1-1precise0precise2), r-recommended (= 3.0.1-1precise0precise2)
Recommends: r-base-html, r-doc-html
Suggests: ess, r-doc-info | r-doc-pdf
Filename: precise/r-base_3.0.1-1precise0precise2_all.deb
Size: 37700
MD5sum: fe440722bc7cc7901a178491605ef82c
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SHA256: 1dbfd02e018013399a2be5d5631e9e32424b5131e5d15f8e9692111a7fd296b2
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, several 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: python-rpy2
Priority: optional
Section: python
Installed-Size: 571
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: rpy2
Version: 2.2.5-1precise0
Provides: python2.7-rpy2
Depends: libc6 (>= 2.4), python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-numpy, r-base-core (>= 2.14.1)
Suggests: python-rpy-docs
Filename: precise/python-rpy2_2.2.5-1precise0_i386.deb
Size: 142330
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Description: Python interface to the GNU R language and environment (version 2)
 This Debian package provides RPy2, 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.
 Rpy2 is a rewrite and extension of the older RPy interface.
Homepage: http://rpy.sourceforge.net/

Package: r-doc-info
Priority: optional
Section: doc
Installed-Size: 569
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.15.0-1precise0
Replaces: r-base (<= 1.4.1-1)
Depends: dpkg (>= 1.15.4) | install-info
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Filename: precise/r-doc-info_2.15.0-1precise0_all.deb
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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-nnet
Priority: optional
Section: gnu-r
Installed-Size: 190
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Version: 7.3-4-1precise0
Replaces: r-cran-vr (<< 7.3-0)
Depends: libc6 (>= 2.1.3), r-base-core (>= 2.15.1-1precise2)
Filename: precise/r-cran-nnet_7.3-4-1precise0_i386.deb
Size: 64088
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SHA256: ddea98a0aa26cf6d0c03c9f27edf01de7dd59385f2836d541504906d89db7761
Description: GNU R package for feed-forward neural networks
 The nnet package provides functions and datasets to support
 feed-forward neural networks with a single hidden layer, and
 multinomial log-linear models, as discussed 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/nnet/index.html

Package: r-base-core-dbg
Priority: extra
Section: debug
Installed-Size: 10461
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.15.1-1precise2
Depends: r-base-core (= 2.15.1-1precise2), r-base-dev (= 2.15.1-1precise2)
Filename: precise/r-base-core-dbg_2.15.1-1precise2_amd64.deb
Size: 3143564
MD5sum: f31c93f254930d2b68a95771938da526
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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: python-rpy
Priority: optional
Section: python
Installed-Size: 125
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: rpy
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Replaces: python2.2-rpy (<< 0.99.2-4), python2.3-rpy (<< 0.99.2-4), python2.4-rpy (<< 0.99.2-4)
Provides: python2.7-rpy
Depends: libc6 (>= 2.3.6-6~), python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-numpy, r-base-core (>= 2.15.0)
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)
Breaks: r-base-core (>= 2.16.0)
Filename: precise/python-rpy_1.0.3-21precise0_i386.deb
Size: 34392
MD5sum: 21189d987d6a4776ebfcb94d8d7850c8
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SHA256: af580b2b1d1ba8afdead42275656ae666043c016a7878148edf5e99dc2028472
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: 2.7

Package: r-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 1045
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
Version: 2.15.2-1precise0
Depends: libc6 (>= 2.3.6-6~)
Recommends: r-base-core (= 2.15.2-1precise0), r-base-dev (= 2.15.2-1precise0)
Filename: precise/r-mathlib_2.15.2-1precise0_i386.deb
Size: 639604
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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: ess
Priority: optional
Section: gnu-r
Installed-Size: 5191
Maintainer: ESS Debian Maintainers <ess-debian@r-project.org>
Architecture: all
Version: 12.04-4-1precise0
Depends: dpkg (>= 1.15.4) | install-info, emacs23 | emacs22 | emacs21 | emacsen
Suggests: xlispstat, r-base | r-base-core, pspp, jags
Conflicts: dhelp (<= 0.3.12)
Filename: precise/ess_12.04-4-1precise0_all.deb
Size: 1594532
MD5sum: 24738d36877afe84b7718c71d6528013
SHA1: d66a6c959947b72b42b6232e4b463c2468034bec
SHA256: e67660302b2da297d9606bb6826ccf56935c33afe3f10779989270d9ec5704d8
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
Installed-Size: 4592
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: rmatrix
Version: 1.0-12-1precise0
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.7), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 3.0.0-2precise), r-cran-lattice (>= 0.12-11.1)
Filename: precise/r-cran-matrix_1.0-12-1precise0_i386.deb
Size: 3056904
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SHA256: fca2f98cbb200a12a5041e47f8d032dc769ceae385a01bdd3cdcda6e3b0327ef
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
Priority: optional
Section: gnu-r
Installed-Size: 30848
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
Version: 3.0.1-3precise
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Provides: r-base-latex, r-cran-rcompgen, r-gnome
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Recommends: r-recommended, r-base-dev, r-doc-html
Suggests: ess, r-doc-info | r-doc-pdf, r-mathlib, r-base-html
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Filename: precise/r-base-core_3.0.1-3precise_i386.deb
Size: 21447540
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SHA256: 4d92b8666b312c5ca9cd108c4241cbc235ccf9355083fad2862b73094467a75a
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, several 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-dbg
Priority: extra
Section: debug
Installed-Size: 11122
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 3.0.1-3precise
Depends: r-base-core (= 3.0.1-3precise), r-base-dev (= 3.0.1-3precise)
Filename: precise/r-base-core-dbg_3.0.1-3precise_amd64.deb
Size: 3365274
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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, several 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-class
Priority: optional
Section: gnu-r
Installed-Size: 212
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Version: 7.3-7-1precise0
Replaces: r-cran-vr (<< 7.3-0)
Depends: libc6 (>= 2.1.3), r-base-core (>= 3.0.0-2precise), r-cran-mass
Filename: precise/r-cran-class_7.3-7-1precise0_i386.deb
Size: 83436
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SHA256: cb89bc3ffab81806521d830b65248a07129a348d3e4e25ee13c11008a6a22bca
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

Package: r-cran-rjags
Priority: optional
Section: gnu-r
Installed-Size: 183
Maintainer: cran2deb4ubuntu <cran2deb4ubuntu@gmail.com>
Architecture: i386
Source: rjags
Version: 3-5-1cran1precise0
Depends: jags, r-base-core, r-cran-coda, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.2.1)
Filename: precise/r-cran-rjags_3-5-1cran1precise0_i386.deb
Size: 88954
MD5sum: f1b729e6bde6682fbd304a11431edd9c
SHA1: 6fb86f2f888bd2af11ce0668370cadd82d2565b4
SHA256: ef832bcf1362a725f3437c5d24f370375da11445832ede138aba61539ff7d692
Description: GNU R package "Bayesian graphical models using MCMC"
 .
 Interface to the JAGS MCMC library
 .
 Author: Martyn Plummer
 .
 Maintainer: Martyn Plummer <plummerM@iarc.fr>
Homepage: http://mcmc-jags.sourceforge.net

Package: r-cran-mass
Priority: optional
Section: gnu-r
Installed-Size: 1121
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Version: 7.3-22-1precise0
Replaces: r-cran-vr
Provides: r-cran-vr
Depends: libc6 (>= 2.1.3), r-base-core (>= 2.15.1-1precise2)
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Filename: precise/r-cran-mass_7.3-22-1precise0_i386.deb
Size: 834088
MD5sum: a3ec714a219e99d5c4e461386719cb27
SHA1: a455d435932f8a2ddbd607d07fdf3c90619abd37
SHA256: 28439b460a6e8b172f806905609e5cae8cf975c9aeef117101189f384531dbcf
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-r2jags
Priority: optional
Section: gnu-r
Installed-Size: 121
Maintainer: cran2deb4ubuntu <cran2deb4ubuntu@gmail.com>
Architecture: all
Source: r2jags
Version: 0.03-06-1cran1precise0
Depends: jags, r-base-core, r-cran-coda, r-cran-r2winbugs, r-cran-rjags, r-cran-abind
Filename: precise/r-cran-r2jags_0.03-06-1cran1precise0_all.deb
Size: 55572
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SHA256: ac504fafb40bd8812dcd9469c87c09a6bae0c13ba6734e6513dd0cf3ac770770
Description: GNU R package "A Package for Running jags from R"
 .
 Using this package to call jags from R.
 .
 Author: Yu-Sung Su <suyusung@tsinghua.edu.cn>, Masanao Yajima
 <yajima@stat.ucla.edu>,
 .
 Maintainer: Yu-Sung Su <suyusung@tsinghua.edu.cn>

Package: r-doc-info
Priority: optional
Section: doc
Installed-Size: 583
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 3.0.1-3precise
Replaces: r-base (<= 1.4.1-1)
Depends: dpkg (>= 1.15.4) | install-info
Suggests: r-base-core, info (>= 3.12) | info-browser
Filename: precise/r-doc-info_3.0.1-3precise_all.deb
Size: 559022
MD5sum: 93b337eccfb44e710c4bc98daee2f356
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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, several 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: python-rpy
Priority: optional
Section: python
Installed-Size: 131
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rpy
Version: 1.0.3-21precise0precise1
Replaces: python2.2-rpy (<< 0.99.2-4), python2.3-rpy (<< 0.99.2-4), python2.4-rpy (<< 0.99.2-4)
Provides: python2.7-rpy
Depends: libc6 (>= 2.3.4), python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-numpy, r-base-core (>= 2.15.0)
Suggests: python-rpy-docs
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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: 2.7

Package: r-base-dev
Priority: optional
Section: gnu-r
Installed-Size: 33
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
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Suggests: debhelper, texlive-base, texlive-latex-base, texlive-generic-recommended, texlive-fonts-recommended, texlive-fonts-extra, texlive-extra-utils, texlive-latex-recommended, texlive-latex-extra, texinfo, texi2html
Filename: precise/r-base-dev_2.15.0-1precise0_all.deb
Size: 3904
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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: ess
Priority: optional
Section: gnu-r
Installed-Size: 5443
Maintainer: ESS Debian Maintainers <ess-debian@r-project.org>
Architecture: all
Version: 13.05-3precise0
Depends: dpkg (>= 1.15.4) | install-info, emacs23 | emacs22 | emacs21 | emacsen
Suggests: xlispstat, r-base | r-base-core, pspp, jags
Conflicts: dhelp (<= 0.3.12)
Filename: precise/ess_13.05-3precise0_all.deb
Size: 1673726
MD5sum: 78eede1d83ecf062d01afafa09444e78
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SHA256: 1aa788c5e09ec987e5c7be8015ab92447df0b436e85b4b2510588b8d9f18481a
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, BUGS and Julia.
 .
 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-base-core
Priority: optional
Section: gnu-r
Installed-Size: 29893
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
Version: 2.15.0-1precise0
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Provides: r-base-latex, r-cran-rcompgen, r-gnome
Depends: zip, unzip, libpaper-utils, xdg-utils, libblas3gf | libblas.so.3gf | libatlas3gf-base, libbz2-1.0, libc6 (>= 2.15), libcairo2 (>= 1.6.0), libgfortran3 (>= 4.3), libglib2.0-0 (>= 2.12.0), libgomp1 (>= 4.2.1), libjpeg8 (>= 8c), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, liblzma5 (>= 5.1.1alpha+20110809), libpango1.0-0 (>= 1.14.0), libpcre3 (>= 8.10), libpng12-0 (>= 1.2.13-4), libreadline6 (>= 6.0), libtiff4, libx11-6, libxt6, tcl8.5 (>= 8.5.0), tk8.5 (>= 8.5.0), zlib1g (>= 1:1.1.4), ucf (>= 3.0)
Recommends: r-recommended, r-base-dev, r-doc-html
Suggests: ess, r-doc-info | r-doc-pdf, r-mathlib, r-base-html
Conflicts: r-base-latex, r-cran-rcompgen, r-gnome
Filename: precise/r-base-core_2.15.0-1precise0_i386.deb
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SHA256: 41ad253fa4120b87a6aeaecf3a64cc047f6ac57a3e0ad2cd165d4d84d338b49e
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: jags
Priority: optional
Section: math
Installed-Size: 2853
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Version: 3.2.0-1precise0
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, libltdl7 (>= 2.4.2), libstdc++6 (>= 4.6)
Filename: precise/jags_3.2.0-1precise0_amd64.deb
Size: 1460106
MD5sum: e09338f2251ecbb0c483d34e9bf5689b
SHA1: f72bbb1bd4700a3305303901743fa69b3ea4d6ad
SHA256: 06af6b7478373e1d14851df141b335722177340062bb17fbbbf28ae9f1aee304
Description: Just Another Gibbs Sampler for Bayesian MCMC simulation
 JAGS is Just Another Gibbs Sampler.  It is a program for analysis of
 Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC)
 simulation  not wholly unlike BUGS.
 .
 JAGS was written with three aims in mind:
  * To have an engine for the BUGS language that runs on Unix
  * To be extensible, allowing users to write their own functions,
    distributions and samplers.
  * To be a plaftorm for experimentation with ideas in Bayesian modelling
Homepage: http://www-fis.iarc.fr/~martyn/software/jags/

Package: r-cran-rodbc
Priority: optional
Section: gnu-r
Installed-Size: 946
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: rodbc
Version: 1.3-6-2precise0
Depends: libc6 (>= 2.4), libodbc1 (>= 2.2.11) | unixodbc (>= 2.2.11), r-base-core (>= 3.0.0-2precise)
Suggests: odbc-postgresql, libmyodbc
Filename: precise/r-cran-rodbc_1.3-6-2precise0_i386.deb
Size: 736582
MD5sum: 91dc09ada74f988e4788095a7c40623c
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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: python-rpy2
Priority: optional
Section: python
Installed-Size: 607
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rpy2
Version: 2.3.3-1precise0
Provides: python2.7-rpy2
Depends: libc6 (>= 2.14), python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8), python-numpy, r-base-core (>= 2.15.3)
Suggests: python-rpy-docs
Filename: precise/python-rpy2_2.3.3-1precise0_amd64.deb
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Description: Python interface to the GNU R language and environment (version 2)
 This Debian package provides RPy2, 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.
 Rpy2 is a rewrite and extension of the older RPy interface.
Homepage: http://rpy.sourceforge.net/

Package: r-base-dev
Priority: optional
Section: gnu-r
Installed-Size: 33
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: r-base
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Suggests: debhelper, texlive-base, texlive-latex-base, texlive-generic-recommended, texlive-fonts-recommended, texlive-fonts-extra, texlive-extra-utils, texlive-latex-recommended, texlive-latex-extra, texinfo, texi2html
Filename: precise/r-base-dev_3.0.1-1precise0precise2_all.deb
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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, several 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-rpart
Priority: optional
Section: gnu-r
Installed-Size: 1169
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: rpart
Version: 4.1-1-2precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.1.3), r-base-core (>= 3.0.0-2precise), r-cran-survival
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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-matrix
Priority: optional
Section: gnu-r
Installed-Size: 4710
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rmatrix
Version: 1.0-11-1precise0
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.14), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 2.15.2-1precise0), r-cran-lattice (>= 0.12-11.1)
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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: python-rpy-doc
Priority: optional
Section: doc
Installed-Size: 395
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: rpy
Version: 1.0.3-22precise0
Replaces: python-rpy-docs
Provides: python-rpy-docs
Depends: dpkg | install-info
Conflicts: python-rpy-docs
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Size: 249860
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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: python-rpy
Priority: optional
Section: python
Installed-Size: 126
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: rpy
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Provides: python2.7-rpy
Depends: libc6 (>= 2.3.6-6~), python (<< 2.8), python (>= 2.7.1-0ubuntu2), python-numpy (>= 1:1.6.1), python-numpy-abi9, python2.7, r-base-core (>= 3.0.0)
Suggests: python-rpy-docs
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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: 2.7

Package: r-recommended
Priority: optional
Section: gnu-r
Installed-Size: 41
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
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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-boot
Priority: optional
Section: gnu-r
Installed-Size: 632
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: boot
Version: 1.3-6-1precise0
Replaces: r-recommended (<< 1.9.0)
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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-cran-nnet
Priority: optional
Section: gnu-r
Installed-Size: 232
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
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Replaces: r-cran-vr (<< 7.3-0)
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Description: GNU R package for feed-forward neural networks
 The nnet package provides functions and datasets to support
 feed-forward neural networks with a single hidden layer, and
 multinomial log-linear models, as discussed 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/nnet/index.html

Package: r-cran-cluster
Priority: optional
Section: gnu-r
Installed-Size: 620
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: cluster
Version: 1.14.3-1precise0
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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
Priority: optional
Section: python
Installed-Size: 126
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: rpy
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Provides: python2.7-rpy
Depends: libc6 (>= 2.3.6-6~), python (<< 2.8), python (>= 2.7.1-0ubuntu2), python-numpy (>= 1:1.6.1), python-numpy-abi9, python2.7, r-base-core (>= 3.0.0)
Suggests: python-rpy-docs
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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: 2.7

Package: r-recommended
Priority: optional
Section: gnu-r
Installed-Size: 41
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: python-rpy2
Priority: optional
Section: python
Installed-Size: 569
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: rpy2
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Suggests: python-rpy-docs
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Size: 142626
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SHA256: 70f5b265a092cc4796307a4a58fcd5140ad93ae7c06a227df42a5e1351593529
Description: Python interface to the GNU R language and environment (version 2)
 This Debian package provides RPy2, 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.
 Rpy2 is a rewrite and extension of the older RPy interface.
Homepage: http://rpy.sourceforge.net/

Package: r-base
Priority: optional
Section: gnu-r
Installed-Size: 71
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Version: 2.15.2-1precise0
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Size: 36878
MD5sum: 03837bec42a1c340a32594a69618aab4
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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-core-dbg
Priority: extra
Section: debug
Installed-Size: 7681
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
Version: 3.0.1-3precise
Depends: r-base-core (= 3.0.1-3precise), r-base-dev (= 3.0.1-3precise)
Filename: precise/r-base-core-dbg_3.0.1-3precise_i386.deb
Size: 3153352
MD5sum: 69dd1004dea0529fe14144181c0b1fe5
SHA1: db9251a0a800e7e372e2e7fdcf406dc4c356fa56
SHA256: 87083d879b495773db6dd994a55da44fd484dc9d19366c5b651ce4808066a1bc
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, several 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-lattice
Priority: optional
Section: gnu-r
Installed-Size: 914
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: lattice
Version: 0.20-13-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.2.5), r-base-core (>= 2.15.2-1precise0)
Filename: precise/r-cran-lattice_0.20-13-1precise0_amd64.deb
Size: 719300
MD5sum: 0a669f5f33890b405ab695e3f6984954
SHA1: 42fceb03f18fda62b7ac0f1b0f3e6a40bd5c734b
SHA256: 2937dbfdd068f2abd2d72f41fe30e2adbbe8f69c1f0df0631793af79bb8d0a83
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
Installed-Size: 1323
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Version: 7.3-23-1precise0
Replaces: r-cran-vr
Provides: r-cran-vr
Depends: libc6 (>= 2.1.3), r-base-core (>= 2.15.2-1precise0)
Conflicts: r-cran-vr
Filename: precise/r-cran-mass_7.3-23-1precise0_i386.deb
Size: 1035356
MD5sum: 3aaf3d985bbdc940816a51894ca4e840
SHA1: 2d20161199a1a6f26323a8274f1daf6fd6b06ff0
SHA256: 83659d099857d2cce2d9e72db54276191dd7f04ef201e52ba26f9d2e52e628a4
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: python-rpy
Priority: optional
Section: python
Installed-Size: 125
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: rpy
Version: 1.0.3-23precise0
Replaces: python2.2-rpy (<< 0.99.2-4), python2.3-rpy (<< 0.99.2-4), python2.4-rpy (<< 0.99.2-4)
Provides: python2.7-rpy
Depends: libc6 (>= 2.3.6-6~), python (<< 2.8), python (>= 2.7.1-0ubuntu2), python-numpy (>= 1:1.6.1), python-numpy-abi9, python2.7, r-base-core (>= 2.15.2)
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)
Breaks: r-base-core (>= 2.16.0)
Filename: precise/python-rpy_1.0.3-23precise0_i386.deb
Size: 34598
MD5sum: 6b7c2b94ed3fbd9a407d698167bde7ac
SHA1: 48d04a202e40e4de92a2ee02ef1262810267e75c
SHA256: 0dbc0e88f7e02b65e8ad82fe515c5083d50dd3297234ece5d39aad120d0cfa68
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: 2.7

Package: r-cran-foreign
Priority: optional
Section: gnu-r
Installed-Size: 501
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: foreign
Version: 0.8.53-2precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.7), r-base-core (>= 3.0.0-2precise)
Filename: precise/r-cran-foreign_0.8.53-2precise0_i386.deb
Size: 223278
MD5sum: bd0a26564ce40b12750311491fb42702
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SHA256: 57990e09c22a330e98be66140ba95acfcdac83fe51a09c3e02e7ed9732b66b9f
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
Priority: optional
Section: gnu-r
Installed-Size: 71
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Version: 3.0.1-1precise0
Depends: r-base-core (>= 3.0.1-1precise0), r-recommended (= 3.0.1-1precise0)
Recommends: r-base-html, r-doc-html
Suggests: ess, r-doc-info | r-doc-pdf
Filename: precise/r-base_3.0.1-1precise0_all.deb
Size: 37594
MD5sum: 0079094819ae0a7e1dcf698f93ae826e
SHA1: 2917e2e1bad5316d63119d7d26e06cc45b3af2ae
SHA256: 9e5455078f1c3c8976b139df1d3d8b4407f36ea3e24d77afa495eae09fdb6e67
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, several 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-pdf
Priority: optional
Section: doc
Installed-Size: 9318
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.15.0-1precise0
Suggests: r-base-core, xdg-utils | pdf-viewer
Filename: precise/r-doc-pdf_2.15.0-1precise0_all.deb
Size: 8335792
MD5sum: b8c4c0ab09eb92f1d79c1102e752a466
SHA1: 19c2a4f6749e57b8131e36cc5af1b7e2b3a422f3
SHA256: 156845637cadbf1425b61f1e4139aa51487cc6c3eff1328f302a988d01a0d001
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
Priority: optional
Section: gnu-r
Installed-Size: 33
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
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Suggests: debhelper, texlive-base, texlive-latex-base, texlive-generic-recommended, texlive-fonts-recommended, texlive-fonts-extra, texlive-extra-utils, texlive-latex-recommended, texlive-latex-extra, texinfo, texi2html
Filename: precise/r-base-dev_2.15.3-1precise0precise1_all.deb
Size: 3896
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SHA256: 3200f95c56bb111f9fd85e253177f24b712699cf23e889b8d4c2c9c7469f658c
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-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 1048
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: r-base
Version: 2.15.3-1precise0precise1
Depends: libc6 (>= 2.3.6-6~)
Recommends: r-base-core (= 2.15.3-1precise0precise1), r-base-dev (= 2.15.3-1precise0precise1)
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Size: 642660
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SHA256: c0e14ef88779d18dbc667748728a0e00e67c416f16495be8d74da07443d9b2fe
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: littler
Priority: optional
Section: gnu-r
Installed-Size: 111
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Version: 0.1.5-1precise0
Depends: libc6 (>= 2.3.4), r-base-core (>= 2.13.1)
Suggests: r-cran-getopt
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Size: 35472
MD5sum: 7573e01421603c8bcb834e1eb9971ac7
SHA1: ced7f4988052edf7f063e05e76c0ae0aaea50fc0
SHA256: aa3e7802837a60525a72cbb0d6de4402dea6f14fdf27122cde1341c539a1960c
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-class
Priority: optional
Section: gnu-r
Installed-Size: 190
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Version: 7.3-5-1precise0
Replaces: r-cran-vr (<< 7.3-0)
Depends: libc6 (>= 2.2.5), r-base-core (>= 2.15.1-1precise2), r-cran-mass
Filename: precise/r-cran-class_7.3-5-1precise0_amd64.deb
Size: 69798
MD5sum: 3c5650def84dfc791cbbdb1ba2d44ec9
SHA1: 64f170e0a68bdd77e91af0839a39b337bff85f1a
SHA256: 525516c65f0bcd96189db4648b2c5188f4216f0def96a35e5453e9adb005b8e6
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

Package: r-base
Priority: optional
Section: gnu-r
Installed-Size: 70
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Version: 2.15.1-1precise2
Depends: r-base-core (>= 2.15.1-1precise2), r-recommended (= 2.15.1-1precise2)
Recommends: r-base-html, r-doc-html
Suggests: ess, r-doc-info | r-doc-pdf
Filename: precise/r-base_2.15.1-1precise2_all.deb
Size: 36572
MD5sum: 4077d9da9c997b7c00482f4036cd5ecf
SHA1: 923ce8859520eb89ac209d11fb146796980b93fa
SHA256: 674ae27676974c64540af573269667194443c74b224da2fbd08934afe9412862
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: 11122
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 3.0.1-1precise0
Depends: r-base-core (= 3.0.1-1precise0), r-base-dev (= 3.0.1-1precise0)
Filename: precise/r-base-core-dbg_3.0.1-1precise0_amd64.deb
Size: 3366268
MD5sum: 21997119f97c5f69bc4385b55ed98e04
SHA1: 227ff3a093cdf4b9397a515ba8952fdbffcbafc5
SHA256: 3d1d88254c5c4d83bc582685fc7384a9e4f23949bf8d978e7d2a907fe6161378
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, several 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: 931
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: rodbc
Version: 1.3-5-1precise0
Depends: libc6 (>= 2.4), libodbc1 (>= 2.2.11) | unixodbc (>= 2.2.11), r-base-core (>= 2.14.2-3precise0)
Suggests: odbc-postgresql, libmyodbc
Filename: precise/r-cran-rodbc_1.3-5-1precise0_i386.deb
Size: 736742
MD5sum: 65eeda4c1110a2d732d751609ead61e0
SHA1: 22c471440b32dc8110ad499d52d2b647488874c1
SHA256: 9ee43aa8899b93ffb9e35509d8a7d97b1c6f7c9edc31b85d1ddb2298d4b262f9
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-mgcv
Priority: optional
Section: gnu-r
Installed-Size: 1478
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: mgcv
Version: 1.7-16-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.4), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 2.15.0-1precise0), r-cran-nlme, r-cran-matrix
Filename: precise/r-cran-mgcv_1.7-16-1precise0_i386.deb
Size: 1299624
MD5sum: c90c478278843c8a94fa29dc1ee5b9d1
SHA1: 77e57761d0363c31caa4d168344957965a33cf52
SHA256: bdaa3a729db0a8572c8d87d65d9a95c8b48d2b57422187c5a7f2787786d7f71c
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: 2779
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: survival
Version: 2.36-12-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.2.5), r-base-core (>= 2.14.1)
Filename: precise/r-cran-survival_2.36-12-1precise0_amd64.deb
Size: 2581272
MD5sum: 63058814a9f517c1798244772c480eee
SHA1: 4a333b2f57d75d62a4c0c8d78f1aec898626bb15
SHA256: 12f19391feb7e0d72167c7465092a25f0e2630f816d53f859573e12ac62d38b3
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-mgcv
Priority: optional
Section: gnu-r
Installed-Size: 1557
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Source: mgcv
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Replaces: r-recommended (<< 1.9.0)
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.4), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 2.15.1-1precise2), r-cran-nlme, r-cran-matrix
Filename: precise/r-cran-mgcv_1.7-19-1precise0_amd64.deb
Size: 1346800
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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-mass
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Version: 7.3-21-1precise0
Replaces: r-cran-vr
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Depends: libc6 (>= 2.1.3), r-base-core (>= 2.15.1-1precise2)
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Filename: precise/r-cran-mass_7.3-21-1precise0_i386.deb
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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

Package: r-cran-mass
Priority: optional
Section: gnu-r
Installed-Size: 1124
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Version: 7.3-20-1precise0
Replaces: r-cran-vr
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Filename: precise/r-cran-mass_7.3-20-1precise0_i386.deb
Size: 832988
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SHA256: 3cbce747921f250dcf34348839a2abe83673c7e7680852db83e6f910063f2314
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
Priority: optional
Section: gnu-r
Installed-Size: 2747
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: survival
Version: 2.36-12-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.1.3), r-base-core (>= 2.14.1)
Filename: precise/r-cran-survival_2.36-12-1precise0_i386.deb
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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-rodbc
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: rodbc
Version: 1.3-6-2precise0precise0
Depends: libc6 (>= 2.14), libodbc1 (>= 2.2.11) | unixodbc (>= 2.2.11), r-base-core (>= 3.0.0-2precise)
Suggests: odbc-postgresql, libmyodbc
Filename: precise/r-cran-rodbc_1.3-6-2precise0precise0_amd64.deb
Size: 736920
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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-mass
Priority: optional
Section: gnu-r
Installed-Size: 1344
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Version: 7.3-26-1precise0
Replaces: r-cran-vr
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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

Package: r-base-core-dbg
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Section: debug
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Source: r-base
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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: 1490
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: mgcv
Version: 1.7-20-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libblas3gf | libblas.so.3gf | libatlas3gf-base, libc6 (>= 2.4), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, r-base-core (>= 2.15.1-1precise2), r-cran-nlme, r-cran-matrix
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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-nnet
Priority: optional
Section: gnu-r
Installed-Size: 236
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Replaces: r-cran-vr (<< 7.3-0)
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Description: GNU R package for feed-forward neural networks
 The nnet package provides functions and datasets to support
 feed-forward neural networks with a single hidden layer, and
 multinomial log-linear models, as discussed 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/nnet/index.html

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, several 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
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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-rjags
Priority: optional
Section: gnu-r
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Description: R interface to the JAGS Bayesian statistics package
 rjags allows calling JAGS code from R to estimate Bayesian
 statistical models using Gibbs sampling.  Coupled with the coda
 package, it allows the researcher to set up data in R, run a model
 specified in the JAGS/BUGS language on the data, and then conduct
 post-estimation analysis using R's tools.
Homepage: http://calvin.iarc.fr/~martyn/software/jags/

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-nlme
Priority: optional
Section: gnu-r
Installed-Size: 2525
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-rpart
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Section: gnu-r
Installed-Size: 1153
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: rpart
Version: 4.1-0-1precise0
Replaces: r-recommended (<< 1.9.0)
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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: python-rpy2
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Section: python
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Source: rpy2
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Description: Python interface to the GNU R language and environment (version 2)
 This Debian package provides RPy2, 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.
 Rpy2 is a rewrite and extension of the older RPy interface.
Homepage: http://rpy.sourceforge.net/

Package: r-cran-lattice
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: lattice
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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
Installed-Size: 3582
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: rmatrix
Version: 1.0-9-1precise0
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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-mgcv
Priority: optional
Section: gnu-r
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Source: mgcv
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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-doc-pdf
Priority: optional
Section: doc
Installed-Size: 9357
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-cran-rodbc
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rodbc
Version: 1.3-5-1precise0
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Filename: precise/r-cran-rodbc_1.3-5-1precise0_amd64.deb
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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-nnet
Priority: optional
Section: gnu-r
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Replaces: r-cran-vr (<< 7.3-0)
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Description: GNU R package for feed-forward neural networks
 The nnet package provides functions and datasets to support
 feed-forward neural networks with a single hidden layer, and
 multinomial log-linear models, as discussed 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/nnet/index.html

Package: python-rpy
Priority: optional
Section: python
Installed-Size: 125
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: rpy
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Depends: libc6 (>= 2.3.6-6~), python (<< 2.8), python (>= 2.7.1-0ubuntu2), python-numpy (>= 1:1.6.1), python-numpy-abi9, python2.7, r-base-core (>= 2.15.1)
Suggests: python-rpy-docs
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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: 2.7

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-cran-foreign
Priority: optional
Section: gnu-r
Installed-Size: 500
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
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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-base
Priority: optional
Section: gnu-r
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Suggests: ess, r-doc-info | r-doc-pdf
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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-nnet
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Replaces: r-cran-vr (<< 7.3-0)
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Description: GNU R package for feed-forward neural networks
 The nnet package provides functions and datasets to support
 feed-forward neural networks with a single hidden layer, and
 multinomial log-linear models, as discussed 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/nnet/index.html

Package: r-base
Priority: optional
Section: gnu-r
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Suggests: ess, r-doc-info | r-doc-pdf
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Size: 36218
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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-nlme
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: nlme
Version: 3.1.104-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.14), r-base-core (>= 2.15.0-1precise0), r-cran-lattice (>= 0.12-11.1)
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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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Section: doc
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Suggests: r-doc-html, mozilla | www-browser
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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, several 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-nnet
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Section: gnu-r
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Description: GNU R package for feed-forward neural networks
 The nnet package provides functions and datasets to support
 feed-forward neural networks with a single hidden layer, and
 multinomial log-linear models, as discussed 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/nnet/index.html

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Section: doc
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Suggests: r-doc-html, mozilla | www-browser
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Size: 92006
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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, several 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-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.

Package: r-cran-mass
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Section: gnu-r
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SHA256: a7b95b6a715e987b20027cf99cba1f5f4299766171f303ac3f9f5d27ed0854c3
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: python-rpy-doc
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Section: doc
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Size: 250224
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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-mass
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Section: gnu-r
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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 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

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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, several 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 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: 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: 2.7

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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 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, several 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
 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 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 package for (non-)linear mixed effects models
 This package provides functions to fit and compare linear and non-linear
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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.

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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 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, several 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 financial engineering -- fRegression
 This package provides functions for regression-based decision and prediction
 and is part of Rmetrics, a collection of packages for financial engineering
 and computational finance written and compiled by Diethelm Wuertz and others.
 .
 fRegression provides functions for regression-based decision and prediction.
Homepage: http://www.Rmetrics.org

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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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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, several 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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Section: python
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Description: Python interface to the GNU R language and environment (version 2)
 This Debian package provides RPy2, 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.
 Rpy2 is a rewrite and extension of the older RPy interface.
Homepage: http://rpy.sourceforge.net/

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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: Python interface to the GNU R language and environment (version 2)
 This Debian package provides RPy2, 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.
 Rpy2 is a rewrite and extension of the older RPy interface.
Homepage: http://rpy.sourceforge.net/

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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, several 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: 947
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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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
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 .
 Usage is covered in the R Data Import/Export manual (available via the
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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
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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, several 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
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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 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.
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 URL: http://www.maths.unsw.edu.au/~wand

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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 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, several 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 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, several 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 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, several 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 package of classes for dense and sparse matrices
 This CRAN package provides S4 classes and methods for numerical
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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 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'
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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.

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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 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

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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.

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SHA256: 246886cd3738a147fc2a0e75c83b8f3095eead56d37b43540db537ec47a026db
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

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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

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Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.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.

Package: r-base-core
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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, several 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 "A Package for Running jags from R"
 .
 Using this package to call jags from R.
 .
 Author: Yu-Sung Su <suyusung@tsinghua.edu.cn>, Masanao Yajima
 <yajima@stat.ucla.edu>,
 .
 Maintainer: Yu-Sung Su <suyusung@tsinghua.edu.cn>

Package: r-cran-mgcv
Priority: optional
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: jags
Priority: optional
Section: math
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Description: Just Another Gibbs Sampler for Bayesian MCMC simulation
 JAGS is Just Another Gibbs Sampler.  It is a program for analysis of
 Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC)
 simulation  not wholly unlike BUGS.
 .
 JAGS was written with three aims in mind:
  * To have an engine for the BUGS language that runs on Unix
  * To be extensible, allowing users to write their own functions,
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  * To be a plaftorm for experimentation with ideas in Bayesian modelling
Homepage: http://www-fis.iarc.fr/~martyn/software/jags/

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Description: Python interface to the GNU R language and environment (version 2)
 This Debian package provides RPy2, 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.
 Rpy2 is a rewrite and extension of the older RPy interface.
Homepage: http://rpy.sourceforge.net/

Package: r-cran-mass
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Section: gnu-r
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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

Package: jags
Priority: optional
Section: math
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Description: Just Another Gibbs Sampler for Bayesian MCMC simulation
 JAGS is Just Another Gibbs Sampler.  It is a program for analysis of
 Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC)
 simulation  not wholly unlike BUGS.
 .
 JAGS was written with three aims in mind:
  * To have an engine for the BUGS language that runs on Unix
  * To be extensible, allowing users to write their own functions,
    distributions and samplers.
  * To be a plaftorm for experimentation with ideas in Bayesian modelling
Homepage: http://www-fis.iarc.fr/~martyn/software/jags/

Package: r-cran-mgcv
Priority: optional
Section: gnu-r
Installed-Size: 1653
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: mgcv
Version: 1.7-13-1precise0
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-cran-mass
Priority: optional
Section: gnu-r
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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

Package: ess
Priority: optional
Section: gnu-r
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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, BUGS and Julia.
 .
 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
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Homepage: http://ess.r-project.org

Package: r-base-core
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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, several 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-class
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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 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.

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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.

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Description: Python interface to the GNU R language and environment (version 2)
 This Debian package provides RPy2, 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.
 Rpy2 is a rewrite and extension of the older RPy interface.
Homepage: http://rpy.sourceforge.net/

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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

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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 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 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: ess
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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
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Homepage: http://ess.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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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

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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'
 by R Core and shipped with upstream source releases of R itself.

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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.

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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, several 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 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 package for (non-)linear mixed effects models
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 .
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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, several 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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 This Debian package provides RPy2, 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.
 Rpy2 is a rewrite and extension of the older RPy interface.
Homepage: http://rpy.sourceforge.net/

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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 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

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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

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Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.15.2-1precise0
Replaces: r-base (<= 1.4.1-1)
Depends: dpkg (>= 1.15.4) | install-info
Suggests: r-base-core, info (>= 3.12) | info-browser
Filename: precise/r-doc-info_2.15.2-1precise0_all.deb
Size: 545672
MD5sum: bb2647f973165ca23e9a3213d88c4491
SHA1: 020a8879bc8d3bbf41547b5f6347b2d3a0795da8
SHA256: b4974a39e4f73408f918311c98ee1a8d22fcea93a541341761c5ccc4c1180a1e
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: 2475
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 3.0.1-3precise
Replaces: r-base (<= 1.4.1-1)
Suggests: r-base-core, mozilla | www-browser
Filename: precise/r-doc-html_3.0.1-3precise_all.deb
Size: 657082
MD5sum: 2648a9df6e37ea67b01f56162cb603fe
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SHA256: 2cf584a33b4554cbd6a55e3907c9384219ee1adae8cfc56ffd260b86d14648b3
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, several 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-dev
Priority: optional
Section: gnu-r
Installed-Size: 33
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.15.2-1precise0
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Suggests: debhelper, texlive-base, texlive-latex-base, texlive-generic-recommended, texlive-fonts-recommended, texlive-fonts-extra, texlive-extra-utils, texlive-latex-recommended, texlive-latex-extra, texinfo, texi2html
Filename: precise/r-base-dev_2.15.2-1precise0_all.deb
Size: 3898
MD5sum: a654cafc8fe4b1f44d51db7ca2baf4f4
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SHA256: 8ee3128bf9f09b9106da11004aa2d77ed056c30823df0598caddf33eeab0b4e7
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-boot
Priority: optional
Section: gnu-r
Installed-Size: 615
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: boot
Version: 1.3-4-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: r-base-core (>= 2.14.1)
Filename: precise/r-cran-boot_1.3-4-1precise0_all.deb
Size: 457404
MD5sum: 637ff698ac962589fe62a843fae11db0
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SHA256: 17d82b8ac3127ad08e05b844c80e1be7438c676b160ecb65f4c49072083af0d1
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-cran-r2jags
Priority: optional
Section: gnu-r
Installed-Size: 122
Maintainer: cran2deb4ubuntu <cran2deb4ubuntu@gmail.com>
Architecture: all
Source: r2jags
Version: 0.03-08-1cran1precise0
Depends: jags, r-base-core, r-cran-coda, r-cran-r2winbugs, r-cran-rjags, r-cran-abind
Filename: precise/r-cran-r2jags_0.03-08-1cran1precise0_all.deb
Size: 56774
MD5sum: 47cd5bf97c37357a7fdec53afa734007
SHA1: de5099f897fa3523e089d8892d883eb18d0b5491
SHA256: ce91f16764f76287f9c64bffcfdf584ba0d385e29699b5bc0c25b7d69a6b63b3
Description: GNU R package "A Package for Running jags from R"
 .
 Using this package to call jags from R.
 .
 Author: Yu-Sung Su <suyusung@tsinghua.edu.cn>, Masanao Yajima
 <yajima@stat.ucla.edu>,
 .
 Maintainer: Yu-Sung Su <suyusung@tsinghua.edu.cn>

Package: python-rpy
Priority: optional
Section: python
Installed-Size: 131
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rpy
Version: 1.0.3-22precise0
Replaces: python2.2-rpy (<< 0.99.2-4), python2.3-rpy (<< 0.99.2-4), python2.4-rpy (<< 0.99.2-4)
Provides: python2.7-rpy
Depends: libc6 (>= 2.3.4), python (<< 2.8), python (>= 2.7.1-0ubuntu2), python-numpy (>= 1:1.6.1), python-numpy-abi9, python2.7, r-base-core (>= 2.15.1)
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)
Breaks: r-base-core (>= 2.16.0)
Filename: precise/python-rpy_1.0.3-22precise0_amd64.deb
Size: 34976
MD5sum: 18758471152944a7b84e6837dbdff488
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SHA256: dd722ad952b4946092508cf327613debb94a9feb187304ab5bccb7cfc911df09
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: 2.7

Package: r-base-core
Priority: optional
Section: gnu-r
Installed-Size: 31159
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.15.1-1precise2
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: zip, unzip, libpaper-utils, xdg-utils, libblas3gf | libblas.so.3gf | libatlas3gf-base, libbz2-1.0, libc6 (>= 2.15), libcairo2 (>= 1.6.0), libgfortran3 (>= 4.3), libglib2.0-0 (>= 2.12.0), libgomp1 (>= 4.2.1), libjpeg8 (>= 8c), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, liblzma5 (>= 5.1.1alpha+20110809), libpango1.0-0 (>= 1.14.0), libpcre3 (>= 8.10), libpng12-0 (>= 1.2.13-4), libreadline6 (>= 6.0), libtiff4, libx11-6, libxt6, tcl8.5 (>= 8.5.0), tk8.5 (>= 8.5.0), zlib1g (>= 1:1.1.4), ucf (>= 3.0)
Recommends: r-recommended, r-base-dev, r-doc-html
Suggests: ess, r-doc-info | r-doc-pdf, r-mathlib, r-base-html
Conflicts: r-base-latex, r-cran-rcompgen, r-gnome
Filename: precise/r-base-core_2.15.1-1precise2_amd64.deb
Size: 20711144
MD5sum: 57f850325db46b42bad77c667360fea3
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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-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 1302
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 3.0.0-2precise
Depends: libc6 (>= 2.3.4)
Recommends: r-base-core (= 3.0.0-2precise), r-base-dev (= 3.0.0-2precise)
Filename: precise/r-mathlib_3.0.0-2precise_amd64.deb
Size: 696050
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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, several 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
Installed-Size: 499
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: foreign
Version: 0.8.54-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.7), r-base-core (>= 3.0.1-1precise0precise2)
Filename: precise/r-cran-foreign_0.8.54-1precise0_i386.deb
Size: 224626
MD5sum: eab81ae9b9c3c599021061983e2ae4ee
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SHA256: 573f7391cc3a8ca4f7a3989574bbc0dd31dd0498a8d7ffb8ac1583ed9ebd058b
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-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 1281
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.15.1-1precise2
Depends: libc6 (>= 2.3.4)
Recommends: r-base-core (= 2.15.1-1precise2), r-base-dev (= 2.15.1-1precise2)
Filename: precise/r-mathlib_2.15.1-1precise2_amd64.deb
Size: 672794
MD5sum: 7a057ed2480b696a9809aef2d54dbffe
SHA1: cc495e1a5462ae8737fe08d6854d280c5ac26bc3
SHA256: 7a0e1fabf09cbba9b8accce5b9d6764120958cbae6679aef0a28159742382ecb
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: 913
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: lattice
Version: 0.20-10-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.1.3), r-base-core (>= 2.15.1-1precise2)
Filename: precise/r-cran-lattice_0.20-10-1precise0_i386.deb
Size: 720648
MD5sum: 5035ce5b033124c315cc5e70fd3d35d9
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SHA256: c1b35c27936b203141d4810b3e12c36d426688f79f5f1a1d7a811ed759ba15fb
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-recommended
Priority: optional
Section: gnu-r
Installed-Size: 41
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.15.0-1precise0
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Filename: precise/r-recommended_2.15.0-1precise0_all.deb
Size: 2676
MD5sum: f962606be6b315c3db70e38b75a5ffae
SHA1: bc9516995cfe12e64af0e13f6f445c6ebfcc2c62
SHA256: 81b65bc9f0cca2735b5e4f4bbeaedaf27d343244117291f1e646831fd3df04af
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: 33
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.15.1-1precise2
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Suggests: debhelper, texlive-base, texlive-latex-base, texlive-generic-recommended, texlive-fonts-recommended, texlive-fonts-extra, texlive-extra-utils, texlive-latex-recommended, texlive-latex-extra, texinfo, texi2html
Filename: precise/r-base-dev_2.15.1-1precise2_all.deb
Size: 3900
MD5sum: ca18f7b1b5a29547602d2f1b1ac9a973
SHA1: 41e3e85b2df403188790fc5721fc5310f6837b31
SHA256: a596a2c61595ceea6b300862bed404a8c5d84442b1c411dbd7ffccf8a36ace6d
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: 419
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: foreign
Version: 0.8.49-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.7), r-base-core (>= 2.14.1)
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SHA256: 5445a5cc252fd3ed604cb760b7061e8f3314cd93cf512f85737d97b7c81b0200
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-nnet
Priority: optional
Section: gnu-r
Installed-Size: 183
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Version: 7.3-1-2precise0
Replaces: r-cran-vr (<< 7.3-0)
Depends: libc6 (>= 2.2.5), r-base-core (>> 2.13.2-1)
Filename: precise/r-cran-nnet_7.3-1-2precise0_amd64.deb
Size: 64884
MD5sum: ba9215e8fe2b1b11545e22ce473961d3
SHA1: 775730220954f85d19c56106482740979357b9de
SHA256: 78af9a3fc4f7adcbbd8cb4ebfef876de67b761f7a6aace555633455f99c8c9d3
Description: GNU R package for feed-forward neural networks
 The nnet package provides functions and datasets to support
 feed-forward neural networks with a single hidden layer, and
 multinomial log-linear models, as discussed 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/nnet/index.html

Package: r-base-core
Priority: optional
Section: gnu-r
Installed-Size: 31590
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 2.15.2-1precise0
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Provides: r-base-latex, r-cran-rcompgen, r-gnome
Depends: zip, unzip, libpaper-utils, xdg-utils, libblas3gf | libblas.so.3gf | libatlas3gf-base, libbz2-1.0, libc6 (>= 2.15), libcairo2 (>= 1.6.0), libgfortran3 (>= 4.3), libglib2.0-0 (>= 2.12.0), libgomp1 (>= 4.2.1), libjpeg8 (>= 8c), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, liblzma5 (>= 5.1.1alpha+20110809), libpango1.0-0 (>= 1.14.0), libpcre3 (>= 8.10), libpng12-0 (>= 1.2.13-4), libreadline6 (>= 6.0), libtiff4, libx11-6, libxt6, tcl8.5 (>= 8.5.0), tk8.5 (>= 8.5.0), zlib1g (>= 1:1.1.4), ucf (>= 3.0)
Recommends: r-recommended, r-base-dev, r-doc-html
Suggests: ess, r-doc-info | r-doc-pdf, r-mathlib, r-base-html
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Filename: precise/r-base-core_2.15.2-1precise0_amd64.deb
Size: 20919568
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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-mass
Priority: optional
Section: gnu-r
Installed-Size: 1129
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Version: 7.3-19-1precise0
Replaces: r-cran-vr
Provides: r-cran-vr
Depends: libc6 (>= 2.2.5), r-base-core (>= 2.15.1-1precise2)
Conflicts: r-cran-vr
Filename: precise/r-cran-mass_7.3-19-1precise0_amd64.deb
Size: 835426
MD5sum: 7345763dec94af5319f0dd7effaaa3ec
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SHA256: f6c0657108c39d7a70c69c3f62fd46716d8201c0c76e2a2611de5dc1351e118f
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
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Provides: r-base-latex, r-cran-rcompgen, r-gnome
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Recommends: r-recommended, r-base-dev, r-doc-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/

Package: r-cran-rpart
Priority: optional
Section: gnu-r
Installed-Size: 560
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: rpart
Version: 4.0-1-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.2.5), r-base-core (>= 2.15.2-1precise0), r-cran-survival
Filename: precise/r-cran-rpart_4.0-1-1precise0_amd64.deb
Size: 366306
MD5sum: f865ced88fa706d918599472e256925d
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SHA256: 2fd8b6c52ca492fd353c0c6d531bebc42c383a42b107b00392abc5ee903694cb
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: 31145
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Provides: r-base-latex, r-cran-rcompgen, r-gnome
Depends: zip, unzip, libpaper-utils, xdg-utils, libblas3gf | libblas.so.3gf | libatlas3gf-base, libbz2-1.0, libc6 (>= 2.15), libcairo2 (>= 1.6.0), libgfortran3 (>= 4.3), libglib2.0-0 (>= 2.12.0), libgomp1 (>= 4.2.1), libjpeg8 (>= 8c), liblapack3gf | liblapack.so.3gf | libatlas3gf-base, liblzma5 (>= 5.1.1alpha+20110809), libpango1.0-0 (>= 1.14.0), libpcre3 (>= 8.10), libpng12-0 (>= 1.2.13-4), libreadline6 (>= 6.0), libtiff4, libx11-6, libxt6, tcl8.5 (>= 8.5.0), tk8.5 (>= 8.5.0), ucf (>= 3.0)
Recommends: r-recommended, r-base-dev, r-doc-html
Suggests: ess, r-doc-info | r-doc-pdf, r-mathlib, r-base-html
Conflicts: r-base-latex, r-cran-rcompgen, r-gnome
Filename: precise/r-base-core_3.0.1-3precise_amd64.deb
Size: 21600266
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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, several 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-mathlib
Priority: optional
Section: gnu-r
Installed-Size: 1304
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: r-base
Version: 3.0.1-1precise0precise2
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Size: 697838
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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, several 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: 131
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Provides: python2.7-rpy
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Suggests: python-rpy-docs
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SHA256: c3d476567515c1a61a9eea5305235d22694b79d26e9ad7436ab9591b8eb6cd65
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: 2.7

Package: r-doc-html
Priority: optional
Section: doc
Installed-Size: 2400
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: all
Source: r-base
Version: 2.15.1-1precise2
Replaces: r-base (<= 1.4.1-1)
Suggests: r-base-core, mozilla | www-browser
Filename: precise/r-doc-html_2.15.1-1precise2_all.deb
Size: 634158
MD5sum: ec514f32caa92ec624a90a9a7086eeba
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SHA256: 8ebb302ca91f3f99b37f60d76e2458a3a609a50df9268b144196f441816a4afa
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-mgcv
Priority: optional
Section: gnu-r
Installed-Size: 1563
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: mgcv
Version: 1.7-22-2precise0
Replaces: r-recommended (<< 1.9.0)
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Size: 1380416
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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-nnet
Priority: optional
Section: gnu-r
Installed-Size: 195
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Version: 7.3-4-1precise0
Replaces: r-cran-vr (<< 7.3-0)
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Size: 67512
MD5sum: 507cda94d1238217db983882c97b67d7
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Description: GNU R package for feed-forward neural networks
 The nnet package provides functions and datasets to support
 feed-forward neural networks with a single hidden layer, and
 multinomial log-linear models, as discussed 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/nnet/index.html

Package: r-cran-survival
Priority: optional
Section: gnu-r
Installed-Size: 3184
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Source: survival
Version: 2.37-4-2precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.2.5), r-base-core (>= 3.0.0-2precise)
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Size: 2984960
MD5sum: e8f9598f05c927d1b24f85c0e5bd73b3
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SHA256: b190dbf4f299801f70144b29392343c2abf5e678803d34ca03c41c26e76a5463
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
Priority: optional
Section: gnu-r
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Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Source: cluster
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Replaces: r-recommended (<< 1.9.0)
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Size: 389450
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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-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: r-doc-html, mozilla | www-browser
Filename: precise/r-base-html_2.15.1-1precise2_all.deb
Size: 90814
MD5sum: e65f85792aefe967b0c137c1c50b19a8
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SHA256: c0542c1249a680ba57a9014b0bc506cac2fb43bb2072cbcd8bd699fe24df9678
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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 .
 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
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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
 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 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

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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.
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 This package is part of the set of packages that are 'recommended'
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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, several 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 package for multiple parameter smoothing estimation
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 and other generalized ridge regression problems with multiple smoothing
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 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 bootstrapping functions from Davison and Hinkley
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 .
 This package is part of the set of packages that are 'recommended'
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 .
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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, several 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 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 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, several 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 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 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

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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, several 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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MD5sum: fd3c79aaddbbcd6902a9188d80d71e81
SHA1: f34080e7a9397d60a8c69fbdc9440f852fc76011
SHA256: ab454951fb3ba517d3f758c72907e92405bb4d01238ece08cf840b5964a6a24a
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, BUGS and Julia.
 .
 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: littler
Priority: optional
Section: gnu-r
Installed-Size: 111
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Version: 0.1.5-1precise0precise0
Depends: libc6 (>= 2.3.4), r-base-core (>= 2.13.1)
Suggests: r-cran-getopt
Filename: precise/littler_0.1.5-1precise0precise0_i386.deb
Size: 35960
MD5sum: bd38dceb46722c65296c58aeaac96c05
SHA1: 225932fd771a6c44a5f3cc2fa50d085463a20947
SHA256: 54e0ecedf92806e9d112d35d488d3326c13b25ac67e3a2b56eca102aa20e59cf
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-nnet
Priority: optional
Section: gnu-r
Installed-Size: 195
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: amd64
Version: 7.3-5-1precise0
Replaces: r-cran-vr (<< 7.3-0)
Depends: libc6 (>= 2.2.5), r-base-core (>= 2.15.1-1precise2)
Filename: precise/r-cran-nnet_7.3-5-1precise0_amd64.deb
Size: 66502
MD5sum: 13ce9613ad8c30452819c31000c697dd
SHA1: dec151459b96830458e8d640499e3d020ddc0a53
SHA256: fed9bd7ee14e1a0ec6edd662edea8486703d0f0f868a7cba97a59fd8bd395fe6
Description: GNU R package for feed-forward neural networks
 The nnet package provides functions and datasets to support
 feed-forward neural networks with a single hidden layer, and
 multinomial log-linear models, as discussed 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/nnet/index.html

Package: r-cran-nlme
Priority: optional
Section: gnu-r
Installed-Size: 2569
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Architecture: i386
Source: nlme
Version: 3.1.107-1precise0
Replaces: r-recommended (<< 1.9.0)
Depends: libc6 (>= 2.1.3), r-base-core (>= 2.15.2-1precise0), r-cran-lattice (>= 0.12-11.1)
Filename: precise/r-cran-nlme_3.1.107-1precise0_i386.deb
Size: 2077556
MD5sum: a9c788ddee2d6117c19f539434e53828
SHA1: d877c5ee678eeb5e1dcb51b1466df8db1f529cca
SHA256: 79e0f3156dee15e19242c0482670b15e6d80f6ede966a7351fefd567503c184f
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.