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 -- Sébastien Villemot <email address hidden> Wed, 06 Jan 2016 16:45:11 +0100
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | 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
- diff from 1.4.22-1 to 1.4.23-1 (4.8 KiB)
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.
