VGAM (1.05)
Vector Generalized Linear and Additive Models.
https://www.stat.auckland.ac.nz/~yee/VGAM
http://cran.rproject.org/web/packages/VGAM
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 fixedeffects models are implemented, i.e., no randomeffects 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 datadriven VGLMs (i.e., with smoothing). The other classes are RRVGLMs (reducedrank VGLMs), quadratic RRVGLMs, reducedrank VGAMs, RCIMs (rowcolumn 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 <t.yee@auckland.ac.nz>
License: GPL3
Uses: mgcv, MASS, VGAMdata
Reverse depends: BayesGOF, Bayesthresh, BSquare, EffectStars, errint, EurosarcBayes, GEVcdn, iteRates, lawstat, LindleyR, list, MiClip, multgee, netmodels, ordDisp, pheno2geno, prob, regclass, rxSeq, SemiParBIVProbit, TBFmultinomial, ZeligChoice
Reverse suggests: AICcmodavg, AnaCoDa, copula, cubfits, DeLorean, discSurv, ExtDist, hnp, isdals, kyotil, medflex, mediation, micEcon, mlt.docreg, mnlogit, modeest, MXM, ordinalNet, partDSA, ppcc, prob, robustrank, sampleSelection, skellam, Sofi, sure, surveillance, tscount, vcdExtra, VGAMdata, Zelig
Reverse enhances: prediction, texreg
Released 3 months ago.
27 previous versions
 VGAM_1.04. Released 9 months ago.
 VGAM_1.03. Released over 1 year ago.
 VGAM_1.02. Released almost 2 years ago.
 VGAM_1.01. Released about 2 years ago.
 VGAM_1.00. Released over 2 years ago.
 VGAM_0.98. Released almost 3 years ago.
 VGAM_0.97. Released about 3 years ago.
 VGAM_0.96. Released over 3 years ago.
 VGAM_0.95. Released over 3 years ago.
 VGAM_0.94. Released almost 4 years ago.
 VGAM_0.93. Released over 4 years ago.
 VGAM_0.92. Released over 4 years ago.
 VGAM_0.91. Released almost 5 years ago.
 VGAM_0.90. Released over 5 years ago.
 VGAM_0.87. Released about 6 years ago.
 VGAM_0.86. Released about 6 years ago.
 VGAM_0.85. Released about 6 years ago.
 VGAM_0.84.1. Released about 6 years ago.
 VGAM_0.84. Released over 6 years ago.
 VGAM_0.83. Released almost 7 years ago.
 VGAM_0.82. Released about 7 years ago.
 VGAM_0.81. Released almost 8 years ago.
 VGAM_0.710. Released over 8 years ago.
 VGAM_0.79. Released almost 9 years ago.
 VGAM_0.78. Released about 9 years ago.
 VGAM_0.77. Released almost 10 years ago.
 VGAM_0.75. Released over 10 years ago.
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