statmod (1.4.30)

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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.

Maintainer: Gordon Smyth
Author(s): Gordon Smyth [cre, aut], Yifang Hu [ctb], Peter Dunn [ctb], Belinda Phipson [ctb], Yunshun Chen [ctb]

License: GPL-2 | GPL-3

Uses: tweedie, MASS
Reverse depends: Bclim, cda, ChainLadder, complex.surv.dat.sim, cond, CopulaREMADA, csampling, diffIRT, h2o, hoa, joineR, JointModel, JOP, JSM, lcmr, lmeNB, marg, mcll, MiscPsycho, mixcat, mlogit, MultisiteMediation, multistate, MVR, nlreg, npmlreg, PCMRS, PCS, penalizedSVM, pglm, planar, plink, randomLCA, RVAideMemoire, SemiParBIVProbit, survsim
Reverse suggests: brms, fitteR, frailtyEM, plm, polyCub, SparseGrid, surveillance, vbmp

Released over 1 year ago.

28 previous versions



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