statmod (1.4.33)

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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 advanced generalized linear model functions including Tweedie and Digamma distributional families and a secure convergence algorithm.

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, insight, plm, polyCub, SparseGrid, surveillance, vbmp

Released 12 days ago.

30 previous versions



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