Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.
Version: 8.0-0 Depends: R (≥ 4.4.0), Hmisc (≥ 5.2-3) 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: 2025-04-04 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: Downloads: Reverse dependencies: Reverse depends: CalibrationCurves, CaseBasedReasoning, coxed, CPE, FeaLect, lordif, missDeaths, pleio, QHScrnomo, rmsb Reverse imports: base.rms, boot.pval, bujar, calibmsm, CatPredi, cg, chipenrich, clinpubr, contrast, cpmBigData, CPSM, crosslag, CsChange, csmpv, depigner, 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, plsRcox, psfmi, qreport, rankCorr, 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, NADA2, ordinalNet, pander, parameters, PhysicalActivity, pmcalibration, pminternal, Publish, rankhazard, rprev, simstudy, spatialEco, sure, survex, tangram, TH.data, tram Reverse enhances: stargazer, texreg Linking:Please use the canonical form https://CRAN.R-project.org/package=rms to link to this page.
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