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.

AuthorFrank E Harrell Jr <f.harrell@vanderbilt.edu>
Date of publication2017-01-01 23:44:17
MaintainerFrank E Harrell Jr <f.harrell@vanderbilt.edu>
LicenseGPL (>= 2)
Version5.1-0
http://biostat.mc.vanderbilt.edu/rms

View on CRAN

Man pages

anova.rms: Analysis of Variance (Wald and F Statistics)

bj: Buckley-James Multiple Regression Model

bootBCa: BCa Bootstrap on Existing Bootstrap Replicates

bootcov: Bootstrap Covariance and Distribution for Regression...

bplot: 3-D Plots Showing Effects of Two Continuous Predictors in a...

calibrate: Resampling Model Calibration

contrast: General Contrasts of Regression Coefficients

cph: Cox Proportional Hazards Model and Extensions

cr.setup: Continuation Ratio Ordinal Logistic Setup

datadist: Distribution Summaries for Predictor Variables

ExProb: Function Generator For Exceedance Probabilities

fastbw: Fast Backward Variable Selection

Function: Compose an S Function to Compute X beta from a Fit

gendata: Generate Data Frame with Predictor Combinations

ggplot.Predict: Plot Effects of Variables Estimated by a Regression Model Fit...

gIndex: Calculate Total and Partial g-indexes for an rms Fit

Glm: rms Version of glm

Gls: Fit Linear Model Using Generalized Least Squares

groupkm: Kaplan-Meier Estimates vs. a Continuous Variable

hazard.ratio.plot: Hazard Ratio Plot

ie.setup: Intervening Event Setup

latex.cph: LaTeX Representation of a Fitted Cox Model

latexrms: LaTeX Representation of a Fitted Model

lrm: Logistic Regression Model

lrm.fit: Logistic Model Fitter

matinv: Total and Partial Matrix Inversion using Gauss-Jordan Sweep...

nomogram: Draw a Nomogram Representing a Regression Fit

npsurv: Nonparametric Survival Estimates for Censored Data

ols: Linear Model Estimation Using Ordinary Least Squares

orm: Ordinal Regression Model

orm.fit: Ordinal Regression Model Fitter

pentrace: Trace AIC and BIC vs. Penalty

plotp.Predict: Plot Effects of Variables Estimated by a Regression Model Fit...

plot.Predict: Plot Effects of Variables Estimated by a Regression Model Fit

plot.xmean.ordinaly: Plot Mean X vs. Ordinal Y

pphsm: Parametric Proportional Hazards form of AFT Models

predab.resample: Predictive Ability using Resampling

Predict: Compute Predicted Values and Confidence Limits

predict.lrm: Predicted Values for Binary and Ordinal Logistic Models

predictrms: Predicted Values from Model Fit

print.cph: Print cph Results

print.ols: Print ols

psm: Parametric Survival Model

residuals.cph: Residuals for a cph Fit

residuals.lrm: Residuals from an 'lrm' or 'orm' Fit

residuals.ols: Residuals for ols

rms: rms Methods and Generic Functions

rms-internal: Internal rms functions

rmsMisc: Miscellaneous Design Attributes and Utility Functions

rms.trans: rms Special Transformation Functions

robcov: Robust Covariance Matrix Estimates

Rq: rms Package Interface to quantreg Package

sensuc: Sensitivity to Unmeasured Covariables

setPb: Progress Bar for Simulations

specs.rms: rms Specifications for Models

summary.rms: Summary of Effects in Model

survest.cph: Cox Survival Estimates

survest.psm: Parametric Survival Estimates

survfit.cph: Cox Predicted Survival

survplot: Plot Survival Curves and Hazard Functions

validate: Resampling Validation of a Fitted Model's Indexes of Fit

validate.cph: Validation of a Fitted Cox or Parametric Survival Model's...

validate.lrm: Resampling Validation of a Logistic or Ordinal Regression...

validate.ols: Validation of an Ordinary Linear Model

validate.rpart: Dxy and Mean Squared Error by Cross-validating a Tree...

validate.Rq: Validation of a Quantile Regression Model

val.prob: Validate Predicted Probabilities

val.surv: Validate Predicted Probabilities Against Observed Survival...

vif: Variance Inflation Factors

which.influence: Which Observations are Influential

zzzrmsOverview: Overview of rms Package

Files in this package

rms
rms/inst
rms/inst/tests
rms/inst/tests/survplot.s
rms/inst/tests/ggplotly.Rmd
rms/inst/tests/lrm.s
rms/inst/tests/sampledf.rda
rms/inst/tests/orm4.r
rms/inst/tests/predictrms.s
rms/inst/tests/bj.r
rms/inst/tests/psm3.s
rms/inst/tests/psm.s
rms/inst/tests/bootcov.r
rms/inst/tests/contrast.r
rms/inst/tests/latex.r
rms/inst/tests/orm-residuals.r
rms/inst/tests/offset.r
rms/inst/tests/rms2.r
rms/inst/tests/ggplot2-without-ggplot.Predict.r
rms/inst/tests/cph.s
rms/inst/tests/lrmMean.s
rms/inst/tests/lrm.ols.penalty.r
rms/inst/tests/orm-profile.r
rms/inst/tests/ggplot.Predict.Rd.timing.r
rms/inst/tests/cph3.r
rms/inst/tests/nomogram.r
rms/inst/tests/cph4.r
rms/inst/tests/plotly-Predict.r
rms/inst/tests/validate.ols.r
rms/inst/tests/cphtdc.r
rms/inst/tests/examples.Rmd
rms/inst/tests/anova-ols-mult-impute.r
rms/inst/tests/rcs.r
rms/inst/tests/orm-example.r
rms/inst/tests/Glm.s
rms/inst/tests/validate.cph.s
rms/inst/tests/pentrace.s
rms/inst/tests/lrm.ordinal.s
rms/inst/tests/val.prob.r
rms/inst/tests/survfit.cph.s
rms/inst/tests/plot.Predict.s
rms/inst/tests/rms.r
rms/inst/tests/summary.r
rms/inst/tests/simult.s
rms/inst/tests/survplot2.r
rms/inst/tests/val.surv.s
rms/inst/tests/orm.s
rms/inst/tests/ggplot3.r
rms/inst/tests/ols.penalty.r
rms/inst/tests/scale.r
rms/inst/tests/cph2.s
rms/inst/tests/ols.r
rms/inst/tests/psm2.s
rms/inst/tests/survest.r
rms/inst/tests/qt50.rda
rms/inst/tests/ggplot2b.r
rms/inst/tests/orm3.r
rms/inst/tests/robcov2.r
rms/inst/tests/model.matrix.s
rms/inst/tests/orm2.s
rms/inst/tests/orm-bootcov.r
rms/inst/tests/survplotp.r
rms/inst/tests/survfit.timedep.s
rms/inst/tests/strat.model.matrix.r
rms/inst/tests/Predict.s
rms/inst/tests/perlcode.s
rms/inst/tests/Rq2.s
rms/inst/tests/validate.rpart.r
rms/inst/tests/mice.r
rms/inst/tests/survplotCompete.r
rms/inst/tests/ggplot2.r
rms/inst/tests/robcov.r
rms/inst/tests/Gls.s
rms/inst/tests/Rq.s
rms/inst/tests/bplot.r
rms/src
rms/src/ormuv.f
rms/src/lrmfit.f
rms/src/robcovf.f
rms/src/mlmats.f
rms/src/ratfor
rms/src/ratfor/ormuv.r
rms/src/ratfor/robcovf.r
rms/NAMESPACE
rms/demo
rms/demo/all.R
rms/demo/00Index
rms/NEWS
rms/R
rms/R/lrm.s
rms/R/summary.rms.s
rms/R/predictrms.s
rms/R/survreg.distributions.s
rms/R/specs.rms.s
rms/R/ols.s
rms/R/Function.rms.s
rms/R/calibrate.psm.s
rms/R/psm.s
rms/R/lrm.fit.strat.s
rms/R/validate.Rq.s
rms/R/latex.ols.s
rms/R/hazard.ratio.plot.s
rms/R/ia.operator.s
rms/R/anova.rms.s
rms/R/validate.ols.s
rms/R/cph.s
rms/R/gIndex.s
rms/R/validate.psm.s
rms/R/robcov.s
rms/R/residuals.cph.s
rms/R/bj.s
rms/R/Glm.s
rms/R/survest.cph.s
rms/R/validate.cph.s
rms/R/calibrate.default.s
rms/R/predab.resample.s
rms/R/pentrace.s
rms/R/datadist.s
rms/R/bootcov.s
rms/R/orm.fit.s
rms/R/calibrate.s
rms/R/groupkm.s
rms/R/residuals.ols.s
rms/R/survfit.cph.s
rms/R/plot.Predict.s
rms/R/latex.cph.s
rms/R/validate.lrm.s
rms/R/val.prob.s
rms/R/val.surv.s
rms/R/survplot.npsurv.s
rms/R/residuals.lrm.s
rms/R/orm.s
rms/R/sensuc.s
rms/R/survplot.rms.s
rms/R/calibrate.cph.s
rms/R/contrast.s
rms/R/cr.setup.s
rms/R/survest.psm.s
rms/R/rms.trans.s
rms/R/print.psm.s
rms/R/npsurv.s
rms/R/plot.nomogram.s
rms/R/survplotp.npsurv.s
rms/R/lrm.fit.s
rms/R/plot.xmean.ordinaly.s
rms/R/rms.s
rms/R/latex.rms.s
rms/R/latex.pphsm.s
rms/R/bplot.s
rms/R/rmsMisc.s
rms/R/plotp.Predict.s
rms/R/fastbw.s
rms/R/nomogram.s
rms/R/validate.rpart.s
rms/R/gendata.s
rms/R/pphsm.s
rms/R/predict.lrm.s
rms/R/ggplot.Predict.s
rms/R/latex.lrm.s
rms/R/Predict.s
rms/R/matinv.s
rms/R/ie.setup.s
rms/R/latex.psm.s
rms/R/which.influence.s
rms/R/Gls.s
rms/R/Rq.s
rms/README.md
rms/MD5
rms/DESCRIPTION
rms/man
rms/man/lrm.fit.Rd rms/man/val.prob.Rd rms/man/Predict.Rd rms/man/ExProb.Rd rms/man/rms-internal.Rd rms/man/groupkm.Rd rms/man/nomogram.Rd rms/man/predictrms.Rd rms/man/anova.rms.Rd rms/man/vif.Rd rms/man/gendata.Rd rms/man/validate.Rd rms/man/zzzrmsOverview.Rd rms/man/survest.psm.Rd rms/man/setPb.Rd rms/man/validate.Rq.Rd rms/man/validate.rpart.Rd rms/man/fastbw.Rd rms/man/robcov.Rd rms/man/rms.trans.Rd rms/man/residuals.ols.Rd rms/man/gIndex.Rd rms/man/psm.Rd rms/man/print.ols.Rd rms/man/Glm.Rd rms/man/orm.fit.Rd rms/man/validate.lrm.Rd rms/man/bootBCa.Rd rms/man/summary.rms.Rd rms/man/specs.rms.Rd rms/man/predab.resample.Rd rms/man/Rq.Rd rms/man/val.surv.Rd rms/man/plotp.Predict.Rd rms/man/datadist.Rd rms/man/sensuc.Rd rms/man/pentrace.Rd rms/man/cr.setup.Rd rms/man/ols.Rd rms/man/rms.Rd rms/man/ggplot.Predict.Rd rms/man/residuals.cph.Rd rms/man/matinv.Rd rms/man/lrm.Rd rms/man/contrast.Rd rms/man/latex.cph.Rd rms/man/bootcov.Rd rms/man/survest.cph.Rd rms/man/hazard.ratio.plot.Rd rms/man/bj.Rd rms/man/survfit.cph.Rd rms/man/plot.Predict.Rd rms/man/bplot.Rd rms/man/npsurv.Rd rms/man/Function.Rd rms/man/rmsMisc.Rd rms/man/cph.Rd rms/man/validate.cph.Rd rms/man/residuals.lrm.Rd rms/man/ie.setup.Rd rms/man/print.cph.Rd rms/man/validate.ols.Rd rms/man/predict.lrm.Rd rms/man/plot.xmean.ordinaly.Rd rms/man/orm.Rd rms/man/latexrms.Rd rms/man/which.influence.Rd rms/man/survplot.Rd rms/man/calibrate.Rd rms/man/pphsm.Rd rms/man/Gls.Rd
rms/INDEX

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