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Package: rms 7.0-0

Frank E Harrell Jr

rms: Regression Modeling Strategies

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.

Authors:Frank E Harrell Jr [aut, cre]

rms_7.0-0.tar.gz
rms_7.0-0.tar.gz(r-4.5-noble)rms_7.0-0.tar.gz(r-4.4-noble)
rms_7.0-0.tgz(r-4.4-emscripten)
rms.pdf |rms.html✨
rms/json (API)
NEWS

# Install 'rms' in R:

install.packages('rms', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/harrelfe/rms/issues74 issues

Uses libs:

fortran– Runtime library for GNU Fortran applications

On CRAN:

fortran

7.41 score 1 stars 127 packages 34k downloads 1.2k mentions 110 exports 76 dependencies

Last updated 3 months agofrom:96d3f7b89d. Checks:2 OK, 1 NOTE. Indexed: no.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 18 2025
R-4.5-linux-x86_64	OK	Mar 18 2025
R-4.4-linux-x86_64	NOTE	Mar 18 2025

Exports:%ia%annotateAnova asis bj bjplot bootBCa bootcov bootplot bplot calibrate catg combineRelatedPredictors confplot contrast coxphFit cph cr.setup datadist Design DesignAssign dxy.cens effective.df ExProb fastbw formatNP gendata ggplot gIndex Glm Gls groupkm gTrans Hazard hazard.ratio.plot histdensity ie.setup impactPO infoMxop interactions.containing legend.nomabbrev lm.pfit lrm lrm.fit lrtest LRupdate lsp matinv matrx modelData Newlabels Newlevels nomogram npsurv Ocens ols ols.influence oos.loglik orm orm.fit pantext Penalty.matrix Penalty.setup pentrace perimeter perlcode plot.contrast.rms plot.lrm.partial plot.xmean.ordinaly plotIntercepts plotmathAnova pol poma pphsm predab.resample Predict predictrms prmiInfo prModFit probabilityFamilies processMI psm rcs recode2integer related.predictors reListclean rexVar robcov Rq sascode scored sensuc setPb show.influence specs strat Surv survdiffplot survest Survival survplot survplotp survreg.auxinfo univarLR val.prob val.probg val.surv validate vif which.influence Xcontrast

Dependencies:backports base64enc bslib cachem checkmate cli cluster codetools colorspace data.table digest evaluate fansi farver fastmap fontawesome foreign Formula fs ggplot2 glue gridExtra gtable highr Hmisc htmlTable htmltools htmlwidgets isoband jquerylib jsonlite knitr labeling lattice lifecycle magrittr MASS Matrix MatrixModels memoise mgcv mime multcomp munsell mvtnorm nlme nnet pillar pkgconfig polspline quantreg R6 rappdirs RColorBrewer rlang rmarkdown rpart rstudioapi sandwich sass scales SparseM stringi stringr survival TH.data tibble tinytex utf8 vctrs viridis viridisLite withr xfun yaml zoo

Citation

To cite package ‘rms’ in publications use:

Harrell Jr FE (2025). rms: Regression Modeling Strategies. R package version 7.0-0, https://CRAN.R-project.org/package=rms.

Corresponding BibTeX entry:

  @Manual{,
    title = {rms: Regression Modeling Strategies},
    author = {Frank E {Harrell Jr}},
    year = {2025},
    note = {R package version 7.0-0},
    url = {https://CRAN.R-project.org/package=rms},
  }

Readme and manuals

rms

Regression Modeling Strategies

Current Goals

Implement estimation and prediction methods for the Bayesian partial proportional odds model blrm function

Web Sites

Overall: http://hbiostat.org/R/rms/
Book: http://hbiostat.org/rms/
CRAN: http://cran.r-project.org/web/packages/rms/
Changelog: https://github.com/harrelfe/rms/commits/master/

To Do

Fix survplot so that explicitly named adjust-to values are still in subtitles. See tests/cph2.s.
Fix fit.mult.impute to average sigma^2 and then take square root, instead of averaging sigma
Implement user-added distributions in psm - see https://github.com/harrelfe/rms/issues/41

Help Manual

Help page	Topics
Ocens	[.Ocens
Analysis of Variance (Wald, LR, and F Statistics)	anova.rms html.anova.rms latex.anova.rms plot.anova.rms print.anova.rms
Convert `Ocens` Object to Data Frame to Facilitate Subset	as.data.frame.Ocens
Buckley-James Multiple Regression Model	bj bj.fit bjplot print.bj residuals.bj validate.bj
BCa Bootstrap on Existing Bootstrap Replicates	bootBCa
Bootstrap Covariance and Distribution for Regression Coefficients	bootcov bootplot bootplot.bootcov confplot confplot.bootcov histdensity
3-D Plots Showing Effects of Two Continuous Predictors in a Regression Model Fit	bplot perimeter
Resampling Model Calibration	calibrate calibrate.cph calibrate.default calibrate.psm plot.calibrate plot.calibrate.default print.calibrate print.calibrate.default
General Contrasts of Regression Coefficients	contrast contrast.rms print.contrast.rms
Cox Proportional Hazards Model and Extensions	cph Mean.cph Quantile.cph Survival.cph
Continuation Ratio Ordinal Logistic Setup	cr.setup
Distribution Summaries for Predictor Variables	datadist print.datadist
Function Generator For Exceedance Probabilities	ExProb ExProb.orm plot.ExProb
Fast Backward Variable Selection	fastbw print.fastbw
Compose an S Function to Compute X beta from a Fit	Function.cph Function.rms perlcode sascode
Generate Data Frame with Predictor Combinations	gendata
Plot Effects of Variables Estimated by a Regression Model Fit Using ggplot2	ggplot.Predict
Calculate Total and Partial g-indexes for an rms Fit	gIndex plot.gIndex print.gIndex
rms Version of glm	Glm
Fit Linear Model Using Generalized Least Squares	Gls print.Gls
Kaplan-Meier Estimates vs. a Continuous Variable	groupkm
Hazard Ratio Plot	hazard.ratio.plot
Intervening Event Setup	ie.setup
Impact of Proportional Odds Assumpton	impactPO
Exported Functions That Were Imported From Other Packages	ggplot Surv
Operate on Information Matrices	infoMxop
LaTeX Representation of a Fitted Cox Model	latex.cph latex.lrm latex.ols latex.orm latex.pphsm latex.psm
LaTeX Representation of a Fitted Model	latex.bj latex.Glm latex.Gls latexrms
Logistic Regression Model	lrm print.lrm
lrm.fit	lrm.fit
LRupdate	LRupdate
Total and Partial Matrix Inversion using Gauss-Jordan Sweep Operator	matinv
Draw a Nomogram Representing a Regression Fit	legend.nomabbrev nomogram plot.nomogram print.nomogram
Nonparametric Survival Estimates for Censored Data	npsurv
Censored Ordinal Variable	Ocens
Linear Model Estimation Using Ordinary Least Squares	ols
Ordinal Regression Model	orm print.orm Quantile.orm
Ordinal Regression Model Fitter	orm.fit
Trace AIC and BIC vs. Penalty	effective.df pentrace plot.pentrace print.pentrace
plot.contrast.rms	plot.contrast.rms
Plot Effects of Variables Estimated by a Regression Model Fit	pantext plot.Predict
plot.rexVar	plot.rexVar
Plot Mean X vs. Ordinal Y	plot.xmean.ordinaly
Plot Intercepts	plotIntercepts
Plot Effects of Variables Estimated by a Regression Model Fit Using plotly	plotp.Predict
Examine proportional odds and parallelism assumptions of `orm` and `lrm` model fits.	poma
Parametric Proportional Hazards form of AFT Models	pphsm print.pphsm vcov.pphsm
Predictive Ability using Resampling	predab.resample
Compute Predicted Values and Confidence Limits	Predict print.Predict rbind.Predict
Predicted Values for Binary and Ordinal Logistic Models	Mean.lrm Mean.orm predict.lrm predict.orm
Predicted Values from Model Fit	predict.bj predict.cph predict.Glm predict.Gls predict.ols predict.psm predict.rms predictrms
Print cph Results	print.cph
print.glm	print.Glm
Print Result from impactPO	print.impactPO
Print ols	print.ols
print.rexVar	print.rexVar
prmiInfo	prmiInfo
processMI	processMI
processMI.fit.mult.impute	processMI.fit.mult.impute
Parametric Survival Model	Hazard Hazard.psm lines.residuals.psm.censored.normalized Mean.psm print.psm psm Quantile.psm residuals.psm Survival Survival.psm survplot.residuals.psm.censored.normalized
recode2integer	recode2integer
Residuals for a cph Fit	residuals.cph
residuals.Glm	residuals.Glm
Residuals from an 'lrm' or 'orm' Fit	plot.lrm.partial residuals.lrm residuals.orm
Residuals for ols	residuals.ols
rexVar	rexVar
rms Methods and Generic Functions	Design modelData rms
rms Special Transformation Functions	%ia% asis catg gTrans lsp makepredictcall.rms matrx pol rcs rms.trans scored strat
Miscellaneous Design Attributes and Utility Functions	AIC.rms calibrate.rms combineRelatedPredictors DesignAssign formatNP Getlim Getlimi html.naprint.delete interactions.containing latex.naprint.delete logLik.Gls logLik.ols logLik.rms lrtest Newlabels Newlabels.rms Newlevels Newlevels.rms nobs.rms oos.loglik oos.loglik.cph oos.loglik.Glm oos.loglik.lrm oos.loglik.ols oos.loglik.psm param.order Penalty.matrix Penalty.setup print.lrtest print.rms prModFit prStats related.predictors reListclean removeFormulaTerms rmsArgs rmsMisc survest.rms univarLR vcov.cph vcov.Glm vcov.Gls vcov.lrm vcov.ols vcov.orm vcov.psm vcov.rms
Overview of rms Package	rms.Overview rmsOverview
Robust Covariance Matrix Estimates	robcov
rms Package Interface to quantreg Package	latex.Rq predict.Rq print.Rq Rq RqFit
Sensitivity to Unmeasured Covariables	plot.sensuc sensuc
Progress Bar for Simulations	setPb
rms Specifications for Models	print.specs.rms specs specs.rms
Summary of Effects in Model	html.summary.rms latex.summary.rms plot.summary.rms print.summary.rms summary.rms
Cox Survival Estimates	survest survest.cph
Parametric Survival Estimates	print.survest.psm survest.psm
Cox Predicted Survival	survfit.cph
Plot Survival Curves and Hazard Functions	survdiffplot survplot survplot.npsurv survplot.rms survplotp survplotp.npsurv
Validate Predicted Probabilities	plot.val.prob print.val.prob val.prob
Validate Predicted Probabilities Against Observed Survival Times	plot.val.surv plot.val.survh print.val.survh val.surv
Resampling Validation of a Fitted Model's Indexes of Fit	html.validate latex.validate print.validate validate
Validation of a Fitted Cox or Parametric Survival Model's Indexes of Fit	dxy.cens validate.cph validate.psm
Resampling Validation of a Logistic or Ordinal Regression Model	validate.lrm validate.orm
Validation of an Ordinary Linear Model	validate.ols
Dxy and Mean Squared Error by Cross-validating a Tree Sequence	plot.validate.rpart print.validate.rpart validate.rpart
Validation of a Quantile Regression Model	validate.Rq
Variance Inflation Factors	vif
Which Observations are Influential	show.influence which.influence
Xcontrast	Xcontrast