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: 1.4.30
Depends: R (≥ 1.6.1)
Imports: stats, graphics
Suggests: MASS, tweedie
Published: 2017-06-18
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_1.4.30.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: statmod_1.4.30.tgz, r-oldrel: statmod_1.4.30.tgz
Old sources: statmod archive

Reverse dependencies:

Reverse depends: cond, CopulaREMADA, csampling, dglm, diffIRT, GHQp, JointModel, JSM, lmeNB, marg, mcll, mixcat, MultisiteMediation, multistate, MVR, nlreg, PCMRS, PCS, penalizedSVM, survsim
Reverse imports: BayesianGLasso, Bclim, bgsmtr, boxcoxmix, ChainLadder, ciuupi, cplm, dsm, equateIRT, equateMultiple, flexCWM, frailtypack, genBart, gllvm, glmBfp, GPCMlasso, hoa, jmdem, joineR, joineRmeta, LogisticDx, mexhaz, mlogit, multimark, mvabund, mvQuad, NetRep, npmlreg, PanelCount, pglm, planar, plink, PredPsych, SNSequate, ssrm.logmer, WeMix, x.ent
Reverse suggests: fitteR, frailtyEM, plm, polyCub, SparseGrid, tweedie


Please use the canonical form to link to this page.