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r-cran-rms package

r-cran-rms 4.4-1-1 source package in Ubuntu

Changelog

r-cran-rms (4.4-1-1) unstable; urgency=low

  * New upstream release
 
  * debian/control: Set Build-Depends: to current R version

 -- Dirk Eddelbuettel <email address hidden>  Mon, 21 Dec 2015 20:24:33 -0600

Upload details

Uploaded by:
Dirk Eddelbuettel
Uploaded to:
Sid
Original maintainer:
Dirk Eddelbuettel
Architectures:
any
Section:
gnu-r
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Xenial release universe gnu-r

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File Size SHA-256 Checksum
r-cran-rms_4.4-1-1.dsc 1.9 KiB f2d5104ec402a32028bc2bfb188b65e8e09aa461bfe860e15989f6c8b88aa9eb
r-cran-rms_4.4-1.orig.tar.gz 464.2 KiB 4f5812b06a55de03ad1a7756a2846b99821692a8814b791fcebba9900eff26ac
r-cran-rms_4.4-1-1.diff.gz 3.6 KiB 7267a6f865b76209e4c1b2a3cd62dfb8c2722b3857f3681f3198330c3c1b24a5

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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.

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