VGAM (1.0-3)

Vector Generalized Linear and Additive Models.

An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) gives details of the statistical framework and VGAM package. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes.

Maintainer: Thomas Yee
Author(s): Thomas W. Yee <>

License: GPL-2 | GPL-3

Uses: mgcv, MASS, VGAMdata
Reverse depends: Bayesthresh, BSquare, EffectStars, errint, EurosarcBayes, GEVcdn, iteRates, lawstat, LindleyR, list, MiClip, multgee, netmodels, ordDisp, pheno2geno, prob, regclass, rxSeq, SemiParBIVProbit, ZeligChoice
Reverse suggests: AICcmodavg, copula, cubfits, DeLorean, discSurv, ExtDist, hnp, isdals, kyotil, medflex, mediation, micEcon, mlt.docreg, mnlogit, modeest, MXM, partDSA, prob, robustrank, sampleSelection, skellam, Sofi, surveillance, tscount, vcdExtra, VGAMdata, Zelig
Reverse enhances: texreg

Released 3 months ago.