r-cran-rms 6.1-0-1 source package in Ubuntu

Changelog

r-cran-rms (6.1-0-1) unstable; urgency=medium

  * New upstream release

  * debian/control: Set Build-Depends: to current R version
  * debian/control: Switch to virtual debhelper-compat (= 11)
  * debian/compat: Removed

 -- Dirk Eddelbuettel <email address hidden>  Sun, 29 Nov 2020 09:06:57 -0600

Upload details

Uploaded by:
Dirk Eddelbuettel on 2020-11-29
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
Hirsute release on 2020-11-30 universe gnu-r

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File Size SHA-256 Checksum
r-cran-rms_6.1-0-1.dsc 2.0 KiB efc7350053985077b8c57abe78ae3f2dd4f8f42ffea14fba0db046a0dfe4d18d
r-cran-rms_6.1-0.orig.tar.gz 559.9 KiB b89ec3b9211a093bfe83a2a8107989b5ce3b7b7c323b88a5d887d99753289f52
r-cran-rms_6.1-0-1.debian.tar.xz 4.2 KiB b025c883a4b58d3ae38f4612b5d23023a1198431bcd73ef5c3f307c3c7e6ae5a

Available diffs

No changes file available.

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