Regression Modeling Strategies
Description
Regression modeling, testing, estimation, validation,
graphics, prediction, and typesetting by storing enhanced model
design attributes in the fit. rms is a collection of about 225
functions that assist with and streamline modeling. It also
contains functions for binary and ordinal logistic regression
models and the Buckley-James multiple regression model for
right-censored responses, and implements penalized maximum
likelihood estimation for logistic and ordinary linear models.
rms works with almost any regression model, but it was
especially written to work with binary or ordinal logistic
regression, Cox regression, accelerated failure time models,
ordinary linear models, the Buckley-James model, generalized
least squares for serially or spatially correlated
observations, generalized linear models, and quantile
regression.