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 180
functions that assist and streamline modeling, especially for
biostatistical and epidemiologic applications. It also
contains new 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.