VGAM: Vector Generalized Linear and Additive Models
Version 1.0-4

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.

Package details

AuthorThomas W. Yee <t.yee@auckland.ac.nz>
Date of publication2017-07-25 21:01:44 UTC
MaintainerThomas Yee <t.yee@auckland.ac.nz>
LicenseGPL-3
Version1.0-4
URL https://www.stat.auckland.ac.nz/~yee/VGAM
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("VGAM")

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VGAM documentation built on July 26, 2017, 1:02 a.m.