statmod

Statistical Modeling

A collection of algorithms and functions to aid statistical modeling. 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. Includes advanced generalized linear model functions that implement secure convergence, dispersion modeling and Tweedie power-law families.

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Description file content

Package
statmod
Version
1.4.30
Date
2017-06-16
Title
Statistical Modeling
Author
Gordon Smyth [cre, aut], Yifang Hu [ctb], Peter Dunn [ctb], Belinda Phipson [ctb], Yunshun Chen [ctb]
Maintainer
Gordon Smyth
Depends
R (>= 1.6.1)
Imports
stats, graphics
Suggests
MASS, tweedie
Description
A collection of algorithms and functions to aid statistical modeling. 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. Includes advanced generalized linear model functions that implement secure convergence, dispersion modeling and Tweedie power-law families.
License
GPL-2 | GPL-3
NeedsCompilation
yes
Packaged
2017-06-17 23:53:15 UTC; smyth
Repository
CRAN
Date/Publication
2017-06-18 14:56:34 UTC

install.packages('statmod')

1.4.30

4 months ago

Gordon Smyth

GPL-2 | GPL-3

Depends on

R (>= 1.6.1)

Imports

stats, graphics

Suggests

MASS, tweedie

Discussions