| PackageDescription | Regression modeling, testing, estimation, validation, graphics,
prediction, and typesetting by storing enhanced model design attributes in
the fit. rms is a collection of functions that assist with and streamline
modeling. It also contains functions for binary and ordinal logistic
regression models, ordinal models for continuous Y with a variety of
distribution families, 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 regression models, 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. |