| 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. |