Package

r-rms

Description

Regression Modeling Strategies. 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.

Note