Package: VGAM Version: 1.0-3 Date: 2017-01-11 Title: Vector Generalized Linear and Additive Models Author: Thomas W. Yee Maintainer: Thomas Yee Depends: R (>= 3.1.0), methods, stats, stats4, splines Suggests: VGAMdata, MASS, mgcv Description: 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. License: GPL-2 | GPL-3 URL: https://www.stat.auckland.ac.nz/~yee/VGAM NeedsCompilation: yes BuildVignettes: yes LazyLoad: yes LazyData: yes Packaged: 2017-01-11 02:07:28 UTC; tyee001 Repository: CRAN Date/Publication: 2017-01-11 08:59:31 Built: R 3.3.2; x86_64-pc-linux-gnu; 2017-06-16 10:11:25 UTC; unix RemoteType: cran RemoteSha: 1.0-3 RemoteRepos: structure("https://ftp.acc.umu.se/mirror/CRAN", .Names = "CRAN") RemotePkgType: source