statmod: Statistical Modeling

A collection of algorithms and functions to aid statistical modeling. Includes limiting dilution analysis (aka ELDA), growth curve comparisons, mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Also includes advanced generalized linear model functions including Tweedie and Digamma distributional families, secure convergence and exact distributional calculations for unit deviances.

Version: 1.5.1
Depends: R (≥ 3.0.0)
Imports: stats, graphics
Suggests: MASS, tweedie
Published: 2025年10月09日
Author: Gordon Smyth [cre, aut], Lizhong Chen [aut], Yifang Hu [ctb], Peter Dunn [ctb], Belinda Phipson [ctb], Yunshun Chen [ctb]
Maintainer: Gordon Smyth <smyth at wehi.edu.au>
License: GPL-2 | GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: statmod results

Documentation:

Reference manual: statmod.html , statmod.pdf

Downloads:

Package source: statmod_1.5.1.tar.gz
Windows binaries: r-devel: statmod_1.5.1.zip, r-release: statmod_1.5.1.zip, r-oldrel: statmod_1.5.1.zip
macOS binaries: r-release (arm64): statmod_1.5.1.tgz, r-oldrel (arm64): statmod_1.5.1.tgz, r-release (x86_64): statmod_1.5.1.tgz, r-oldrel (x86_64): statmod_1.5.1.tgz
Old sources: statmod archive

Reverse dependencies:

Linking:

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