Regression Modeling Strategies

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 |

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