Debian logoDebian Screenshots >


GNU R regression modeling strategies by Frank Harrell


Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of 229 functions that assist with and streamline modeling. It also contains 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.

See Frank Harrell (2001), Regression Modeling Strategies, Springer Series in Statistics, as well as

Upload more screenshots

Please help extend the collection of screenshots. Just make a screenshot and upload it here. You don't need to register or anything.



1599 other people were interested in this package here. The newest known version of this software is 6.0-1-1 (Information last updated about 17 hours ago.)