ExProb                  Function Generators For Exceedance and Survival
                        Probabilities
Function.rms            Compose an S Function to Compute X beta from a
                        Fit
Glm                     rms Version of glm
Gls                     Fit Linear Model Using Generalized Least
                        Squares
LRupdate                LRupdate
Ocens                   Censored Ordinal Variable
Ocens2Surv              Ocens2Surv
Ocens2ord               Recode Censored Ordinal Variable
Olinks                  Likehood-Based Statistics for Other Links for
                        orm Fits
Predict                 Compute Predicted Values and Confidence Limits
Punits                  Prepare units for Printing and Plotting
Rq                      rms Package Interface to quantreg Package
Surv                    Exported Functions That Were Imported From
                        Other Packages
Xcontrast               Xcontrast
[.Ocens                 Ocens
anova.rms               Analysis of Variance (Wald, LR, and F
                        Statistics)
as.data.frame.Ocens     Convert 'Ocens' Object to Data Frame to
                        Facilitate Subset
bj                      Buckley-James Multiple Regression Model
bootBCa                 BCa Bootstrap on Existing Bootstrap Replicates
bootcov                 Bootstrap Covariance and Distribution for
                        Regression Coefficients
bplot                   3-D Plots Showing Effects of Two Continuous
                        Predictors in a Regression Model Fit
calibrate               Resampling Model Calibration
contrast.rms            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
fastbw                  Fast Backward Variable Selection
gIndex                  Calculate Total and Partial g-indexes for an
                        rms Fit
gendata                 Generate Data Frame with Predictor Combinations
ggplot.Predict          Plot Effects of Variables Estimated by a
                        Regression Model Fit Using ggplot2
ggplot.npsurv           Title Plot npsurv Nonparametric Survival Curves
                        Using ggplot2
groupkm                 Kaplan-Meier Estimates vs. a Continuous
                        Variable
hazard.ratio.plot       Hazard Ratio Plot
ie.setup                Intervening Event Setup
impactPO                Impact of Proportional Odds Assumpton
infoMxop                Operate on Information Matrices
intCalibration          Check Parallelism Assumption of Ordinal
                        Semiparametric Models
is.na.Ocens             is.na Method for Ocens Objects
latex.cph               LaTeX Representation of a Fitted Cox Model
latexrms                LaTeX Representation of a Fitted Model
lrm                     Logistic Regression Model
lrm.fit                 lrm.fit
matinv                  Total and Partial Matrix Inversion using
                        Gauss-Jordan Sweep Operator
nomogram                Draw a Nomogram Representing a Regression Fit
npsurv                  Nonparametric Survival Estimates for Censored
                        Data
ols                     Linear Model Estimation Using Ordinary Least
                        Squares
ordESS                  ordESS
ordParallel             Check Parallelism Assumption of Ordinal
                        Semiparametric Models
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.contrast.rms       plot.contrast.rms
plot.rexVar             plot.rexVar
plot.xmean.ordinaly     Plot Mean X vs. Ordinal Y
plotIntercepts          Plot Intercepts
plotp.Predict           Plot Effects of Variables Estimated by a
                        Regression Model Fit Using plotly
poma                    Examine proportional odds and parallelism
                        assumptions of 'orm' and 'lrm' model fits.
pphsm                   Parametric Proportional Hazards form of AFT
                        Models
predab.resample         Predictive Ability using Resampling
predict.lrm             Predicted Values for Binary and Ordinal
                        Logistic Models
predictrms              Predicted Values from Model Fit
print.Glm               print.glm
print.Ocens             print Method for Ocens Objects
print.cph               Print cph Results
print.impactPO          Print Result from impactPO
print.ols               Print ols
print.rexVar            print.rexVar
prmiInfo                prmiInfo
processMI               processMI
processMI.fit.mult.impute
                        processMI.fit.mult.impute
psm                     Parametric Survival Model
recode2integer          recode2integer
residuals.Glm           residuals.Glm
residuals.cph           Residuals for a cph Fit
residuals.lrm           Residuals from an 'lrm' or 'orm' Fit
residuals.ols           Residuals for ols
rexVar                  rexVar
rms                     rms Methods and Generic Functions
rms.trans               rms Special Transformation Functions
rmsMisc                 Miscellaneous Design Attributes and Utility
                        Functions
rmsOverview             Overview of rms Package
robcov                  Robust Covariance Matrix Estimates
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.orm             Title survest.orm
survest.psm             Parametric Survival Estimates
survfit.cph             Cox Predicted Survival
survplot                Plot Survival Curves and Hazard Functions
survplot.orm            Title Survival Curve Plotting
val.prob                Validate Predicted Probabilities
val.surv                Validate Predicted Probabilities Against
                        Observed Survival Times
validate                Resampling Validation of a Fitted Model's
                        Indexes of Fit
validate.Rq             Validation of a Quantile Regression Model
validate.cph            Validation of a Fitted Cox or Parametric
                        Survival Model's Indexes of Fit
validate.lrm            Resampling Validation of a Logistic or Ordinal
                        Regression Model
validate.ols            Validation of an Ordinary Linear Model
validate.rpart          Dxy and Mean Squared Error by Cross-validating
                        a Tree Sequence
vif                     Variance Inflation Factors
which.influence         Which Observations are Influential
