Hmisc: Harrell Miscellaneous

The Hmisc library contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, importing datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of S objects to LaTeX code, and recoding variables. Please submit bug reports to 'http://biostat.mc.vanderbilt.edu/trac/Hmisc'.

Version: 3.9-1
Depends: R (≥ 2.4.0), methods, survival
Imports: lattice, cluster, survival
Suggests: lattice, grid, nnet, foreign, chron, acepack, TeachingDemos, rms, cluster, mice, subselect, tree
Published: 2012-01-14
Author: Frank E Harrell Jr, with contributions from many other users.
Maintainer: Charles Dupont <charles.dupont at vanderbilt.edu>
License: GPL (≥ 2)
URL: http://biostat.mc.vanderbilt.edu/wiki/Main/Hmisc, http://biostat.mc.vanderbilt.edu/trac/Hmisc
In views: Bayesian, ClinicalTrials, Econometrics, Multivariate, OfficialStatistics, ReproducibleResearch, SocialSciences
CRAN checks: Hmisc results

Downloads:

Package source: Hmisc_3.9-1.tar.gz
MacOS X binary: Hmisc_3.9-1.tgz
Windows binary: Hmisc_3.9-1.zip
Reference manual: Hmisc.pdf
News/ChangeLog:NEWS ChangeLog
Old sources: Hmisc archive

Reverse dependencies:

Reverse depends: anesrake, aqp, aspace, BiomarkeR, bwsurvival, caschrono, cg, ChainLadder, compareGroups, ENmisc, EstCRM, etable, evora, FunCluster, FunNet, HMP, HumMeth27QCReport, its, lazyWeave, lordif, MissingDataGUI, mosaic, mosaicManip, mrt, MVPARTwrap, nbpMatching, ndl, nonparaeff, polytomous, popPK, PredictABEL, prLogistic, QT, RandForestGUI, RcmdrPlugin.EHESsampling, RcmdrPlugin.Export, RcmdrPlugin.mosaic, RcmdrPlugin.pointG, review, rms, RPPanalyzer, scape, smacof, soilDB, tables, TinnR, weights, WGCNA, wvioplot, xpose4, xpose4classic, xpose4data, xpose4generic, xpose4specific
Reverse imports: Rcell, remix
Reverse suggests: abd, ascii, BB, bbmle, bfp, caret, contrast, Deducer, denstrip, fastR, gap, ggplot2, IPSUR, languageR, lawstat, nlme, PerformanceAnalytics, planar, PSCBS, rattle, Rcmdr, RGraphics, SuperLearner