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r-cran-rms package

r-cran-rms 6.4-1-1 source package in Ubuntu

Changelog

r-cran-rms (6.4-1-1) unstable; urgency=medium

  * New upstream release

 -- Dirk Eddelbuettel <email address hidden>  Mon, 23 Jan 2023 07:10:37 -0600

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

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File Size SHA-256 Checksum
r-cran-rms_6.4-1-1.dsc 2.0 KiB 868beacaf9e08178bd0fecb95d36edc2176a6019203903bc5cea583ac6f28773
r-cran-rms_6.4-1.orig.tar.gz 576.8 KiB d64f26f702f34e106e61344b45e2267372815cbf92bea39287fc671a3078b0ae
r-cran-rms_6.4-1-1.debian.tar.xz 4.3 KiB 67be36d547f6e8b52c8e310502d013028860f0c2a3625b58e95fccda73e0b2dd

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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