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 a number of advanced generalized linear model functions including new Tweedie and Digamma glm families and a secure convergence algorithm.

Version: 1.4.32
Depends: R (≥ 3.0.0)
Imports: stats, graphics
Suggests: MASS, tweedie
Published: 2019-05-29
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_1.4.32.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: statmod_1.4.32.tgz, r-oldrel: statmod_1.4.32.tgz
Old sources: statmod archive

Reverse dependencies:

Reverse depends: cond, CopulaREMADA, csampling, dglm, diffIRT, GHQp, JointModel, JSM, lmeNB, marg, mcll, MultisiteMediation, multistate, MVR, nlreg, PCMRS, PCS, survsim
Reverse imports: BayesianGLasso, Bclim, bgsmtr, boxcoxmix, ChainLadder, ciuupi, conf, cplm, dsm, equateIRT, equateMultiple, frailtypack, frailtypack, genBart, gllvm, glmBfp, GlmSimulatoR, GPCMlasso, Hmsc, hoa, irtplay, JMcmprsk, jmdem, joineR, joineRmeta, lacm, LogisticDx, merlin, MEtest, mexhaz, mlogit, multimark, mvabund, mvQuad, NetRep, npmlreg, PanelCount, penalizedSVM, pglm, planar, plink, PredPsych, RandomCoefficients, RISCA, rmRNAseq, selac, sobir, ssrm.logmer, survPen, tcgsaseq, WeMix, x.ent
Reverse suggests: brms, fitteR, plm, polyCub, SparseGrid, tweedie


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