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: |
3.10-1.1 |
| 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: |
2013-05-03 |
| Author: |
Frank E Harrell Jr, with
contributions from Charles Dupont and many others. |
| Maintainer: |
Charles Dupont <charles.dupont at vanderbilt.edu> |
| License: |
GPL (≥ 2) |
| URL: |
http://biostat.mc.vanderbilt.edu/Hmisc,
http://biostat.mc.vanderbilt.edu/trac/Hmisc |
| NeedsCompilation: |
yes |
| In views: |
Bayesian, ClinicalTrials, Econometrics, Multivariate, OfficialStatistics, ReproducibleResearch, SocialSciences |
| CRAN checks: |
Hmisc results |
| Reverse depends: |
anesrake, aspace, BiomarkeR, bwsurvival, caschrono, cg, compareGroups, datacheck, EBMAforecast, ENmisc, EstCRM, etable, evora, FunCluster, FunNet, HumMeth27QCReport, its, lazyWeave, lordif, MEET, MissingDataGUI, mosaic, MVPARTwrap, nbpMatching, ndl, nonparaeff, polytomous, popPK, PredictABEL, prLogistic, QT, RcmdrPlugin.mosaic, review, rms, RPPanalyzer, scape, sdcMicroGUI, smacof, tables, TinnR, TTAinterfaceTrendAnalysis, visualFields, weights, WGCNA, xkcd, xpose4, xpose4specific |
| Reverse imports: |
aqp, ChainLadder, DeducerSpatial, hydroPSO, lmerTest, ModelGood, plotKML, qgraph, Rcell, remix, soilDB |
| Reverse suggests: |
abd, ascii, BB, bbmle, bfp, biomod2, caret, contrast, Deducer, denstrip, epade, fastR, ggplot2, IPSUR, languageR, lawstat, MARSS, networksis, nlme, PerformanceAnalytics, planar, PSCBS, rattle, Rcmdr, RGraphics, rknn, Rmisc, Rz, Sleuth3, smcUtils, StatMatch, SuperLearner |