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A B C D E F G H I L M N O P Q R S U V W misc
| AIC.rms | Miscellaneous Design Attributes and Utility Functions |
| anova.rms | Analysis of Variance (Wald and F Statistics) |
| asis | rms Special Transformation Functions |
| bj | Buckley-James Multiple Regression Model |
| bj.fit | Buckley-James Multiple Regression Model |
| bjplot | Buckley-James Multiple Regression Model |
| bootcov | Bootstrap Covariance and Distribution for Regression Coefficients |
| bootplot | Bootstrap Covariance and Distribution for Regression Coefficients |
| bootplot.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 |
| calibrate.cph | Resampling Model Calibration |
| calibrate.default | Resampling Model Calibration |
| calibrate.psm | Resampling Model Calibration |
| calibrate.rms | Miscellaneous Design Attributes and Utility Functions |
| catg | rms Special Transformation Functions |
| combineRelatedPredictors | Miscellaneous Design Attributes and Utility Functions |
| confplot | Bootstrap Covariance and Distribution for Regression Coefficients |
| confplot.bootcov | Bootstrap Covariance and Distribution for Regression Coefficients |
| contrast | General Contrasts of Regression Coefficients |
| 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 |
| Design | rms Methods and Generic Functions |
| effective.df | Trace AIC and BIC vs. Penalty |
| fastbw | Fast Backward Variable Selection |
| formatNP | Miscellaneous Design Attributes and Utility Functions |
| Function.cph | Compose an S Function to Compute X beta from a Fit |
| Function.rms | Compose an S Function to Compute X beta from a Fit |
| gendata | Generate Data Frame with Predictor Combinations |
| Getlim | Miscellaneous Design Attributes and Utility Functions |
| Getlimi | Miscellaneous Design Attributes and Utility Functions |
| gIndex | Calculate Total and Partial g-indexes for an rms Fit |
| GiniMd | 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 | Parametric Survival Model |
| Hazard.psm | Parametric Survival Model |
| hazard.ratio.plot | Hazard Ratio Plot |
| histdensity | Bootstrap Covariance and Distribution for Regression Coefficients |
| ie.setup | Intervening Event Setup |
| interactions.containing | Miscellaneous Design Attributes and Utility Functions |
| latex.anova.rms | Analysis of Variance (Wald and F Statistics) |
| latex.bj | LaTeX Representation of a Fitted Model |
| latex.cph | LaTeX Representation of a Fitted Cox Model |
| latex.Glm | LaTeX Representation of a Fitted Model |
| latex.Gls | LaTeX Representation of a Fitted Model |
| latex.lrm | LaTeX Representation of a Fitted Cox Model |
| latex.ols | LaTeX Representation of a Fitted Cox Model |
| latex.pphsm | LaTeX Representation of a Fitted Cox Model |
| latex.psm | LaTeX Representation of a Fitted Cox Model |
| latex.rms | LaTeX Representation of a Fitted Model |
| latex.Rq | rms Package Interface to quantreg Package |
| latex.summary.rms | Summary of Effects in Model |
| latex.validate | Resampling Validation of a Fitted Model's Indexes of Fit |
| latexrms | LaTeX Representation of a Fitted Model |
| legend.nomabbrev | Draw a Nomogram Representing a Regression Fit |
| lines.residuals.psm.censored.normalized | Parametric Survival Model |
| logLik.ols | Miscellaneous Design Attributes and Utility Functions |
| logLik.rms | Miscellaneous Design Attributes and Utility Functions |
| lrm | Logistic Regression Model |
| lrm.fit | Logistic Model Fitter |
| lrtest | Miscellaneous Design Attributes and Utility Functions |
| lsp | rms Special Transformation Functions |
| matinv | Total and Partial Matrix Inversion using Gauss-Jordan Sweep Operator |
| matrx | rms Special Transformation Functions |
| Mean.cph | Cox Proportional Hazards Model and Extensions |
| Mean.lrm | Predicted Values for Binary and Ordinal Logistic Models |
| Mean.psm | Parametric Survival Model |
| Newlabels | Miscellaneous Design Attributes and Utility Functions |
| Newlabels.rms | Miscellaneous Design Attributes and Utility Functions |
| Newlevels | Miscellaneous Design Attributes and Utility Functions |
| Newlevels.rms | Miscellaneous Design Attributes and Utility Functions |
| nobs.rms | Miscellaneous Design Attributes and Utility Functions |
| nomogram | Draw a Nomogram Representing a Regression Fit |
| num.intercepts | Miscellaneous Design Attributes and Utility Functions |
| ols | Linear Model Estimation Using Ordinary Least Squares |
| oos.loglik | Miscellaneous Design Attributes and Utility Functions |
| oos.loglik.cph | Miscellaneous Design Attributes and Utility Functions |
| oos.loglik.Glm | Miscellaneous Design Attributes and Utility Functions |
| oos.loglik.lrm | Miscellaneous Design Attributes and Utility Functions |
| oos.loglik.ols | Miscellaneous Design Attributes and Utility Functions |
| oos.loglik.psm | Miscellaneous Design Attributes and Utility Functions |
| pantext | Plot Effects of Variables Estimated by a Regression Model Fit |
| param.order | Miscellaneous Design Attributes and Utility Functions |
| Penalty.matrix | Miscellaneous Design Attributes and Utility Functions |
| Penalty.setup | Miscellaneous Design Attributes and Utility Functions |
| pentrace | Trace AIC and BIC vs. Penalty |
| perimeter | 3-D Plots Showing Effects of Two Continuous Predictors in a Regression Model Fit |
| plot.anova.rms | Analysis of Variance (Wald and F Statistics) |
| plot.calibrate | Resampling Model Calibration |
| plot.calibrate.default | Resampling Model Calibration |
| plot.gIndex | Calculate Total and Partial g-indexes for an rms Fit |
| plot.lrm.partial | Residuals from a Logistic Regression Model Fit |
| plot.nomogram | Draw a Nomogram Representing a Regression Fit |
| plot.pentrace | Trace AIC and BIC vs. Penalty |
| plot.Predict | Plot Effects of Variables Estimated by a Regression Model Fit |
| plot.sensuc | Sensitivity to Unmeasured Covariables |
| plot.summary.rms | Summary of Effects in Model |
| plot.val.prob | Validate Predicted Probabilities |
| plot.val.surv | Validate Predicted Probabilities Against Observed Survival Times |
| plot.val.survh | Validate Predicted Probabilities Against Observed Survival Times |
| plot.validate.rpart | Dxy and Mean Squared Error by Cross-validating a Tree Sequence |
| plot.xmean.ordinaly | Plot Mean X vs. Ordinal Y |
| pol | rms Special Transformation Functions |
| pphsm | Parametric Proportional Hazards form of AFT Models |
| predab.resample | Predictive Ability using Resampling |
| Predict | Compute Predicted Values and Confidence Limits |
| predict.bj | Predicted Values from Model Fit |
| predict.cph | Predicted Values from Model Fit |
| predict.Glm | Predicted Values from Model Fit |
| predict.Gls | Predicted Values from Model Fit |
| predict.lrm | Predicted Values for Binary and Ordinal Logistic Models |
| predict.ols | Predicted Values from Model Fit |
| predict.psm | Predicted Values from Model Fit |
| predict.rms | Predicted Values from Model Fit |
| predict.Rq | rms Package Interface to quantreg Package |
| predictrms | Predicted Values from Model Fit |
| print.anova.rms | Analysis of Variance (Wald and F Statistics) |
| print.bj | Buckley-James Multiple Regression Model |
| print.calibrate | Resampling Model Calibration |
| print.calibrate.default | Resampling Model Calibration |
| print.contrast.rms | General Contrasts of Regression Coefficients |
| print.cph | Print cph Results |
| print.datadist | Distribution Summaries for Predictor Variables |
| print.fastbw | Fast Backward Variable Selection |
| print.gIndex | Calculate Total and Partial g-indexes for an rms Fit |
| print.Glm | rms Version of glm |
| print.Gls | Fit Linear Model Using Generalized Least Squares |
| print.lrm | Logistic Regression Model |
| print.lrtest | Miscellaneous Design Attributes and Utility Functions |
| print.nomogram | Draw a Nomogram Representing a Regression Fit |
| print.ols | Print ols |
| print.pentrace | Trace AIC and BIC vs. Penalty |
| print.pphsm | Parametric Proportional Hazards form of AFT Models |
| print.Predict | Compute Predicted Values and Confidence Limits |
| print.psm | Parametric Survival Model |
| print.rms | Miscellaneous Design Attributes and Utility Functions |
| print.Rq | rms Package Interface to quantreg Package |
| print.specs.rms | rms Specifications for Models |
| print.summary.rms | Summary of Effects in Model |
| print.survest.psm | Parametric Survival Estimates |
| print.val.prob | Validate Predicted Probabilities |
| print.val.survh | Validate Predicted Probabilities Against Observed Survival Times |
| print.validate | Resampling Validation of a Fitted Model's Indexes of Fit |
| print.validate.rpart | Dxy and Mean Squared Error by Cross-validating a Tree Sequence |
| prModFit | Miscellaneous Design Attributes and Utility Functions |
| prStats | Miscellaneous Design Attributes and Utility Functions |
| psm | Parametric Survival Model |
| Quantile.cph | Cox Proportional Hazards Model and Extensions |
| Quantile.psm | Parametric Survival Model |
| rbind.Predict | Compute Predicted Values and Confidence Limits |
| rcs | rms Special Transformation Functions |
| related.predictors | Miscellaneous Design Attributes and Utility Functions |
| residuals.bj | Buckley-James Multiple Regression Model |
| residuals.cph | Residuals for a cph Fit |
| residuals.Glm | rms Version of glm |
| residuals.lrm | Residuals from a Logistic Regression Model Fit |
| residuals.ols | Residuals for ols |
| residuals.psm | Parametric Survival Model |
| residuals.rms | Miscellaneous Design Attributes and Utility Functions |
| reVector | Miscellaneous Design Attributes and Utility Functions |
| rms | rms Methods and Generic Functions |
| rms.Overview | Overview of rms Package |
| rms.trans | rms Special Transformation Functions |
| rmsArgs | Miscellaneous Design Attributes and Utility Functions |
| rmsFit | Miscellaneous Design Attributes and Utility Functions |
| rmsMisc | Miscellaneous Design Attributes and Utility Functions |
| rmsOverview | Overview of rms Package |
| robcov | Robust Covariance Matrix Estimates |
| Rq | rms Package Interface to quantreg Package |
| RqFit | rms Package Interface to quantreg Package |
| sascode | Compose an S Function to Compute X beta from a Fit |
| scored | rms Special Transformation Functions |
| sensuc | Sensitivity to Unmeasured Covariables |
| show.influence | Which Observations are Influential |
| specs | rms Specifications for Models |
| specs.rms | rms Specifications for Models |
| strat | rms Special Transformation Functions |
| summary.rms | Summary of Effects in Model |
| survdiffplot | Plot Survival Curves and Hazard Functions |
| survest | Cox Survival Estimates |
| survest.cph | Cox Survival Estimates |
| survest.psm | Parametric Survival Estimates |
| survest.rms | Miscellaneous Design Attributes and Utility Functions |
| survfit.cph | Cox Predicted Survival |
| survfit.formula | Compute a Survival Curve for Censored Data |
| Survival | Parametric Survival Model |
| Survival.cph | Cox Proportional Hazards Model and Extensions |
| Survival.psm | Parametric Survival Model |
| survplot | Plot Survival Curves and Hazard Functions |
| survplot.residuals.psm.censored.normalized | Parametric Survival Model |
| survplot.rms | Plot Survival Curves and Hazard Functions |
| survplot.survfit | Plot Survival Curves and Hazard Functions |
| univarLR | Miscellaneous Design Attributes and Utility Functions |
| 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.bj | Buckley-James Multiple Regression Model |
| validate.cph | Validation of a Fitted Cox or Parametric Survival Model's Indexes of Fit |
| validate.lrm | Resampling Validation of a Logistic Model |
| validate.ols | Validation of an Ordinary Linear Model |
| validate.psm | Validation of a Fitted Cox or Parametric Survival Model's Indexes of Fit |
| validate.rpart | Dxy and Mean Squared Error by Cross-validating a Tree Sequence |
| vcov.cph | Miscellaneous Design Attributes and Utility Functions |
| vcov.Glm | Miscellaneous Design Attributes and Utility Functions |
| vcov.Gls | Miscellaneous Design Attributes and Utility Functions |
| vcov.lrm | Miscellaneous Design Attributes and Utility Functions |
| vcov.ols | Miscellaneous Design Attributes and Utility Functions |
| vcov.pphsm | Parametric Proportional Hazards form of AFT Models |
| vcov.psm | Miscellaneous Design Attributes and Utility Functions |
| vif | Variance Inflation Factors |
| which.influence | Which Observations are Influential |
| %ia% | rms Special Transformation Functions |