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rms

Regression Modeling Strategies

Current Goals

A non-downward compatible change will occur in the next release of the package
The survfit.formula function (seen by the user as just survfit) for obtaining nonparametric survival estimates will be replaced by the npsurv function
The purpose is to avoid conflicts with the survival package
survfit.coxph has a new id option that generalizes individual=TRUE; need to change survfit.cph and survest.cph to use that

Web Sites

Overall: http://biostat.mc.vanderbilt.edu/Rrms
Book: http://biostat.mc.vanderbilt.edu/rms
CRAN: http://cran.r-project.org/web/packages/rms
Changelog: https://github.com/harrelfe/rms/commits/master

To Do

Fix survplot so that explicitly named adjust-to values are still in subtitles. See tests/cph2.s.
Fix fit.mult.impute to average sigma^2 and then take square root, instead of averaging sigma
Implement user-added distributions in psm - see https://github.com/harrelfe/rms/issues/41

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Version

Install

install.packages('rms')

Monthly Downloads

26,057

Version

5.1-2

License

GPL (>= 2)

Maintainer

Frank E Harrell Jr

Last Published

January 7th, 2018

Functions in rms (5.1-2)

Analysis of Variance (Wald and F Statistics)

Buckley-James Multiple Regression Model

Generate Data Frame with Predictor Combinations

Plot Effects of Variables Estimated by a Regression Model Fit Using ggplot2

LaTeX Representation of a Fitted Model

Logistic Regression Model

Ordinal Regression Model Fitter

Trace AIC and BIC vs. Penalty

rms Methods and Generic Functions

rms Special Transformation Functions

Validate Predicted Probabilities

Validate Predicted Probabilities Against Observed Survival Times

Function Generator For Exceedance Probabilities

Compose an S Function to Compute X beta from a Fit

Plot Effects of Variables Estimated by a Regression Model Fit

Predicted Values from Model Fit

Print cph Results

plot.xmean.ordinaly

Plot Mean X vs. Ordinal Y

Cox Survival Estimates

Parametric Survival Estimates

BCa Bootstrap on Existing Bootstrap Replicates

Bootstrap Covariance and Distribution for Regression Coefficients

3-D Plots Showing Effects of Two Continuous Predictors in a Regression Model Fit

Resampling Model Calibration

Kaplan-Meier Estimates vs. a Continuous Variable

hazard.ratio.plot

Hazard Ratio Plot

Plot Effects of Variables Estimated by a Regression Model Fit Using plotly

Parametric Proportional Hazards form of AFT Models

predab.resample

Predictive Ability using Resampling

Predicted Values for Binary and Ordinal Logistic Models

Resampling Validation of a Fitted Model's Indexes of Fit

Residuals for ols

Internal rms functions

Validation of a Quantile Regression Model

Sensitivity to Unmeasured Covariables

Progress Bar for Simulations

Validation of an Ordinary Linear Model

Dxy and Mean Squared Error by Cross-validating a Tree Sequence

Compute Predicted Values and Confidence Limits

rms Package Interface to quantreg Package

Fast Backward Variable Selection

Calculate Total and Partial g-indexes for an rms Fit

Intervening Event Setup

LaTeX Representation of a Fitted Cox Model

Parametric Survival Model

rms Specifications for Models

Overview of rms Package

Summary of Effects in Model

Validation of a Fitted Cox or Parametric Survival Model's Indexes of Fit

Resampling Validation of a Logistic or Ordinal Regression Model

rms Version of glm

Fit Linear Model Using Generalized Least Squares

Continuation Ratio Ordinal Logistic Setup

Distribution Summaries for Predictor Variables

Logistic Model Fitter

Total and Partial Matrix Inversion using Gauss-Jordan Sweep Operator

Linear Model Estimation Using Ordinary Least Squares

Ordinal Regression Model

Cox Predicted Survival

Plot Survival Curves and Hazard Functions

Variance Inflation Factors

Residuals for a cph Fit

Residuals from an lrm or orm Fit

which.influence

Which Observations are Influential

General Contrasts of Regression Coefficients

Cox Proportional Hazards Model and Extensions

Draw a Nomogram Representing a Regression Fit

Nonparametric Survival Estimates for Censored Data

Miscellaneous Design Attributes and Utility Functions

Robust Covariance Matrix Estimates