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r-cran-rms package

r-cran-rms 5.1-1-1build1 source package in Ubuntu

Changelog

r-cran-rms (5.1-1-1build1) artful; urgency=medium

  * No-change rebuild to pick up r-api-3.4

 -- Graham Inggs <email address hidden>  Thu, 28 Sep 2017 15:32:33 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Artful
Original maintainer:
Dirk Eddelbuettel
Architectures:
any
Section:
gnu-r
Urgency:
Medium Urgency

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r-cran-rms_5.1-1.orig.tar.gz 509.1 KiB c489948df5c434b40bcf5288844f5b4e08d157f36939d09230c1600f88d1bfe3
r-cran-rms_5.1-1-1build1.diff.gz 4.0 KiB 545a5a08e86b28afa813f1551fabcce3b4d6ee9291cd889983556eb33ab68689
r-cran-rms_5.1-1-1build1.dsc 1.9 KiB 7eb59aaee86aa19f310da950888c686d8db8c6a0db7b60239a233b76ccb4d887

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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.

r-cran-rms-dbgsym: debug symbols for r-cran-rms