r-cran-rms 3.3-3-1 source package in Ubuntu


r-cran-rms (3.3-3-1) unstable; urgency=low

  * New upstream release

 -- Dirk Eddelbuettel <email address hidden>  Mon, 12 Dec 2011 09:46:41 -0600

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Uploaded by:
Dirk Eddelbuettel on 2011-12-13
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Original maintainer:
Dirk Eddelbuettel
Low Urgency

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Series Pocket Published Component Section
Precise release on 2012-01-09 universe gnu-r


File Size SHA-256 Checksum
r-cran-rms_3.3-3-1.dsc 1.1 KiB ca6806115d6624e8bd5dd1999bb018d80fbb5830ac2c2f95d8ae89dceb8d442b
r-cran-rms_3.3-3.orig.tar.gz 353.6 KiB 732b9717561f0647c4a500d85d7a6023328023357c0400e844d916f6fc9994e3
r-cran-rms_3.3-3-1.diff.gz 3.0 KiB a56324ebac890908e8cd62eb98f31c72686536150c82974aac640d51ffbf9c7e

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Binary packages built by this source

r-cran-rms: 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.