| anova.rms | Analysis of Variance (Wald, LR, 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 |
| impactPO | Impact of Proportional Odds Assumpton |
| importexport | Exported Functions That Were Imported From Other Packages |
| 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 |
| lrm.fit.bare | lrm.fit.bare |
| LRupdate | LRupdate |
| 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.contrast.rms | plot.contrast.rms |
| 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.rexVar | plot.rexVar |
| plot.xmean.ordinaly | Plot Mean X vs. Ordinal Y |
| poma | Examine proportional odds and parallelism assumptions of... |
| 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.Glm | print.glm |
| 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 |
| residuals.cph | Residuals for a cph Fit |
| residuals.Glm | residuals.Glm |
| residuals.lrm | Residuals from an 'lrm' or 'orm' Fit |
| residuals.ols | Residuals for ols |
| rexVar | rexVar |
| 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 |
| Xcontrast | Xcontrast |
| zzzrmsOverview | Overview of rms Package |
