r-cran-rms 6.0-1-1 source package in Ubuntu

Changelog

r-cran-rms (6.0-1-1) unstable; urgency=medium

  * New upstream release

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

 -- Dirk Eddelbuettel <email address hidden>  Sun, 19 Jul 2020 08:10:58 -0500

Upload details

Uploaded by:
Dirk Eddelbuettel on 2020-07-19
Uploaded to:
Sid
Original maintainer:
Dirk Eddelbuettel
Architectures:
any
Section:
gnu-r
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Groovy release on 2020-07-19 universe gnu-r

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File Size SHA-256 Checksum
r-cran-rms_6.0-1-1.dsc 2.0 KiB e858f11722375fd207f36079ba55656e78f81d2576dea71951aff43c237731e9
r-cran-rms_6.0-1.orig.tar.gz 554.7 KiB b82f5eb6b0e6aaedaed8b45f9b712809bf184adc860c60fd24d235ba19d66cfe
r-cran-rms_6.0-1-1.debian.tar.xz 4.2 KiB eb3d2ba1366add5bd9a3ddd9716ccf140b3f1fcc186c34056c9860bd8e8beb16

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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