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rms: Regression Modeling Strategies

Regression modeling, testing, estimation, validation,graphics, prediction, and typesetting by storing enhanced model designattributes in the fit. 'rms' is a collection of functions thatassist with and streamline modeling. It also contains functions forbinary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-Jamesmultiple regression model for right-censored responses, and implementspenalized maximum likelihood estimation for logistic and ordinarylinear models. 'rms' works with almost any regression model, but itwas especially written to work with binary or ordinal regressionmodels, Cox regression, accelerated failure time models,ordinary linear models,the Buckley-James model, generalized leastsquares for serially or spatially correlated observations, generalizedlinear models, and quantile regression.

Version:8.1-0
Depends:R (≥ 4.4.0),Hmisc (≥ 5.2-4)
Imports:methods,survival,quantreg,ggplot2,Matrix,SparseM,rpart,nlme (≥ 3.1-123),polspline,multcomp,htmlTable (≥ 1.11.0),htmltools,MASS,cluster,digest,colorspace,knitr, grDevices,scales
Suggests:boot, tcltk,plotly (≥ 4.5.6),mice,icenReg,rmsb,nnet,VGAM,lattice,kableExtra
Published:2025-10-14
DOI:10.32614/CRAN.package.rms
Author:Frank E Harrell Jr [aut, cre]
Maintainer:Frank E Harrell Jr <fh at fharrell.com>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://hbiostat.org/R/rms/,https://github.com/harrelfe/rms
NeedsCompilation:yes
Materials:README,NEWS
In views:Econometrics,ReproducibleResearch,Survival
CRAN checks:rms results

Documentation:

Reference manual:rms.html ,rms.pdf

Downloads:

Package source: rms_8.1-0.tar.gz
Windows binaries: r-devel:rms_8.1-0.zip, r-release:rms_8.1-0.zip, r-oldrel:rms_8.1-0.zip
macOS binaries: r-release (arm64):rms_8.1-0.tgz, r-oldrel (arm64):rms_8.1-0.tgz, r-release (x86_64):rms_8.1-0.tgz, r-oldrel (x86_64):rms_8.1-0.tgz
Old sources: rms archive

Reverse dependencies:

Reverse depends:CalibrationCurves,CaseBasedReasoning,CPE,FeaLect,lordif,missDeaths,pleio,QHScrnomo,rmsb
Reverse imports:base.rms,bigPLScox,boot.pval,bujar,calibmsm,cg,chipenrich,clinpubr,contrast,cpmBigData,CPSM,crosslag,CsChange,csmpv,diversityForest,DynNom,ems,EnMCB,expertsurv,ggquickeda,ggrcs,ggrisk,Greg,greport,haplo.stats,hIRT,interactionRCS,LCAextend,lodGWAS,MetabolicSurv,miceafter,movieROC,nlrr,nomogramEx,nomogramFormula,ordcrm,ordinalsimr,ormPlot,pec,peRiodiCS,PERSUADE,plsRcox,PResiduals,psfmi,qreport,rankCorr,raptools,rcssci,riskRegression,rmsMD,seqimpute,shrink,sMSROC,Surrogate,survAUC,survHE,SvyNom,TrendInTrend
Reverse suggests:basecamb,bbmle,catdata,clarify,dosresmeta,DTAT,ecospat,effectsize,forestplot,gap,ggeffects,GofCens,Hmisc,insight,JWileymisc,languageR,MachineShop,marginaleffects,metadat,mlt.docreg,ModStatR,NADA2,ordinalNet,pander,parameters,PhysicalActivity,pmcalibration,pminternal,Publish,rankhazard,rprev,simstudy,spatialEco,sure,survex,tangram,TH.data,tram
Reverse enhances:stargazer,texreg

Linking:

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