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rms

Regression Modeling Strategies

Current Goals

Implement estimation and prediction methods for the Bayesian partial proportional odds model blrm function

Web Sites

Overall: http://hbiostat.org/R/rms
Book: http://hbiostat.org/doc/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

26,359

Version

6.0-0

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/harrelfe/rms

Homepage

https://hbiostat.org/R/rms

Maintainer

Frank E Harrell Jr

Last Published

June 4th, 2020

Functions in rms (6.0-0)

Fit Linear Model Using Generalized Least Squares

Function Generator For Exceedance Probabilities

Compute Predicted Values and Confidence Limits

rms Version of glm

Compose an S Function to Compute X beta from a Fit

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

Bootstrap Covariance and Distribution for Regression Coefficients

Analysis of Variance (Wald and F Statistics)

Buckley-James Multiple Regression Model

Resampling Model Calibration

Calculate Total and Partial g-indexes for an rms Fit

BCa Bootstrap on Existing Bootstrap Replicates

rms Package Interface to quantreg Package

hazard.ratio.plot

Hazard Ratio Plot

Generate Data Frame with Predictor Combinations

Fast Backward Variable Selection

General Contrasts of Regression Coefficients

Intervening Event Setup

Distribution Summaries for Predictor Variables

Kaplan-Meier Estimates vs. a Continuous Variable

Nonparametric Survival Estimates for Censored Data

Cox Proportional Hazards Model and Extensions

Total and Partial Matrix Inversion using Gauss-Jordan Sweep Operator

LaTeX Representation of a Fitted Cox Model

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

Plot Effects of Variables Estimated by a Regression Model Fit

Draw a Nomogram Representing a Regression Fit

plot.contrast.rms

plot.contrast.rms

Continuation Ratio Ordinal Logistic Setup

Trace AIC and BIC vs. Penalty

Logistic Model Fitter

print.predict.blrm

print.predict.blrm

LaTeX Representation of a Fitted Model

Plot Survival Curves and Hazard Functions

Ordinal Regression Model Fitter

Linear Model Estimation Using Ordinary Least Squares

Logistic Regression Model

predab.resample

Predictive Ability using Resampling

pdensityContour

print.blrmStats

print.blrmStats

Predicted Values for Binary and Ordinal Logistic Models

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

Validation of an Ordinary Linear Model

Residuals from an lrm or orm Fit

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

Predicted Values from Model Fit

Ordinal Regression Model

plot.xmean.ordinaly

Plot Mean X vs. Ordinal Y

Residuals for ols

rms Methods and Generic Functions

Miscellaneous Design Attributes and Utility Functions

Internal rms functions

Print cph Results

Sensitivity to Unmeasured Covariables

rms Special Transformation Functions

Bayesian Model Fitting and Stacking for Multiple Imputation

Progress Bar for Simulations

Parametric Survival Model

Resampling Validation of a Fitted Model's Indexes of Fit

Compile Stan Code

Parametric Proportional Hazards form of AFT Models

rms Specifications for Models

Validation of a Quantile Regression Model

Validate Predicted Probabilities

Residuals for a cph Fit

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

Cox Predicted Survival

which.influence

Which Observations are Influential

Validate Predicted Probabilities Against Observed Survival Times

Parametric Survival Estimates

Overview of rms Package

Cox Survival Estimates

Summary of Effects in Model

Robust Covariance Matrix Estimates

Variance Inflation Factors

Resampling Validation of a Logistic or Ordinal Regression Model