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.

Version: 1.4.26
Depends: R (≥ 1.6.1)
Imports: stats, graphics
Suggests: MASS, tweedie
Published: 2016-08-28
Author: Gordon Smyth [cre, aut], Yifang Hu [ctb], Peter Dunn [ctb], Belinda Phipson [ctb], Yunshun Chen [ctb]
Maintainer: Gordon Smyth <smyth at>
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_1.4.26.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: statmod_1.4.26.tgz, r-oldrel: statmod_1.4.26.tgz
Old sources: statmod archive

Reverse dependencies:

Reverse depends: cond, CopulaREMADA, csampling, dglm, diffIRT, GHQp, h2o, joineR, JointModel, JSM, lmeNB, marg, mcll, mixcat, MVR, nlreg, PCS, penalizedSVM, survsim
Reverse imports: Bclim, bgsmtr, brms, cda, ChainLadder, cplm, dsm, equateIRT, flexCWM, glmBfp, hoa, LogisticDx, mexhaz, mlogit, multimark, mvabund, mvQuad, NetRep, npmlreg, PanelCount, pglm, planar, R2STATS, RVAideMemoire, x.ent
Reverse suggests: polyCub, SparseGrid, tweedie


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