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 and a secure convergence algorithm.
Version: | 1.4.34 |
Depends: | R (≥ 3.0.0) |
Imports: | stats, graphics |
Suggests: | MASS, tweedie |
Published: | 2020-02-17 |
Author: | Gordon Smyth [cre, 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 |
Citation: | statmod citation info |
Materials: | NEWS |
In views: | Distributions, NumericalMathematics |
CRAN checks: | statmod results |
Reference manual: | statmod.pdf |
Package source: | statmod_1.4.34.tar.gz |
Windows binaries: | r-devel: statmod_1.4.34.zip, r-release: statmod_1.4.34.zip, r-oldrel: statmod_1.4.34.zip |
macOS binaries: | r-release: statmod_1.4.34.tgz, r-oldrel: statmod_1.4.34.tgz |
Old sources: | statmod archive |
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