Package: r-cran-rms (6.1-1-1)

Links for r-cran-rms

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Download Source Package r-cran-rms:

Maintainer:

Dirk Eddelbuettel (QA Page)

External Resources:

Homepage [cran.r-project.org]

Similar packages:

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 http://biostat.mc.vanderbilt.edu/Rrms.

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Architecture	Package Size	Installed Size	Files
amd64	2,053.6 kB	2,412.0 kB	[list of files]
arm64	2,052.7 kB	2,404.0 kB	[list of files]
armhf	2,051.5 kB	2,399.0 kB	[list of files]
i386	2,053.2 kB	2,407.0 kB	[list of files]
mips64el	2,053.7 kB	2,404.0 kB	[list of files]
mipsel	2,053.3 kB	2,404.0 kB	[list of files]
ppc64el	2,055.5 kB	2,448.0 kB	[list of files]
s390x	2,053.9 kB	2,408.0 kB	[list of files]