Regression modeling, testing, estimation, validation,graphics, prediction, and typesetting by storing enhanced model designattributes in the fit. 'rms' is a collection of functions thatassist with and streamline modeling. It also contains functions forbinary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-Jamesmultiple regression model for right-censored responses, and implementspenalized maximum likelihood estimation for logistic and ordinarylinear models. 'rms' works with almost any regression model, but itwas especially written to work with binary or ordinal regressionmodels, Cox regression, accelerated failure time models,ordinary linear models,the Buckley-James model, generalized leastsquares for serially or spatially correlated observations, generalizedlinear models, and quantile regression.
expanded from: GPL (≥ 2)
rms
Regression Modeling Strategies