r-cran-statmod 1.4.23-1 source package in Ubuntu

Changelog

r-cran-statmod (1.4.23-1) unstable; urgency=medium

  * Imported Upstream version 1.4.23

 -- S├ębastien Villemot <email address hidden>  Wed, 06 Jan 2016 16:45:11 +0100

Upload details

Uploaded by:
Debian Science Team on 2016-01-07
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
r-cran-statmod_1.4.23-1.dsc 2.0 KiB 5ef9fcc7416f177015cb43da43a5e4987335d82e477ef94394d2f6e668fc8667
r-cran-statmod_1.4.23.orig.tar.gz 55.8 KiB 67da847d07129ccd287b57cee304032ec95e2ce0c37c362d3dee7f08be731f1b
r-cran-statmod_1.4.23-1.debian.tar.xz 2.1 KiB 9d58eacd40cd40a5210f9135b327b2512ae3773a96a025d2ea10c1a6469388e9

Available diffs

No changes file available.

Binary packages built by this source

r-cran-statmod: GNU R package providing algorithms and functions for statistical modeling

 This R package provides a collection of algorithms and functions to aid
 statistical modeling. It includes growth curve comparisons, limiting dilution
 analysis (aka ELDA), mixed linear models, heteroscedastic regression,
 inverse-Gaussian probability calculations, Gauss quadrature and a secure
 convergence algorithm for nonlinear models. It also includes advanced
 generalized linear model functions that implement secure convergence,
 dispersion modeling and Tweedie power-law families.

r-cran-statmod-dbgsym: debug symbols for package r-cran-statmod

 This R package provides a collection of algorithms and functions to aid
 statistical modeling. It includes growth curve comparisons, limiting dilution
 analysis (aka ELDA), mixed linear models, heteroscedastic regression,
 inverse-Gaussian probability calculations, Gauss quadrature and a secure
 convergence algorithm for nonlinear models. It also includes advanced
 generalized linear model functions that implement secure convergence,
 dispersion modeling and Tweedie power-law families.