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.

Author
Frank E Harrell Jr <f.harrell@vanderbilt.edu>
Date of publication
2016-11-03 10:54:52
Maintainer
Frank E Harrell Jr <f.harrell@vanderbilt.edu>
License
GPL (>= 2)
Version
5.0-0
URLs

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
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/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/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