Package: VGAM
Version: 0.9-7
Date: 2015-03-06
Title: Vector Generalized Linear and Additive Models
Author: Thomas W. Yee <t.yee@auckland.ac.nz>
Maintainer: Thomas Yee <t.yee@auckland.ac.nz>
Depends: R (>= 3.0.0), methods, stats, stats4, splines
Suggests: VGAMdata, MASS
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.  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, especially before version
1.0.0 is released; see the NEWS file for latest changes.
License: GPL-2
URL: http://www.stat.auckland.ac.nz/~yee/VGAM
NeedsCompilation: yes
BuildVignettes: yes
LazyLoad: yes
LazyData: yes
Packaged: 2015-03-06 09:11:02 UTC; tyee001
Repository: CRAN
Date/Publication: 2015-03-06 10:38:52

Package: VGAM
Version: 0.9-8
Date: 2015-05-11
Title: Vector Generalized Linear and Additive Models
Author: Thomas W. Yee <t.yee@auckland.ac.nz>
Maintainer: Thomas Yee <t.yee@auckland.ac.nz>
Depends: R (>= 3.0.0), methods, stats, stats4, splines
Suggests: VGAMdata, MASS
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. 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,
especially before version 1.0.0 is released; see the NEWS
file for latest changes.
License: GPL-2
URL: https://www.stat.auckland.ac.nz/~yee/VGAM
NeedsCompilation: yes
BuildVignettes: yes
LazyLoad: yes
LazyData: yes
Packaged: 2015-05-11 03:49:53 UTC; tyee001
Repository: CRAN
Date/Publication: 2015-05-11 11:14:54