vglmff-class

Family functions for the <pkg>VGAM</pkg> package

classes

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.

Thomas Yee

VGAM

Vector Generalized Linear and Additive Models

vglmff-class function

Objects can be created by calls of the form <code>new("vglmff", ...)</code>.

Objects from the Class

<pkg>VGAM</pkg> family functions are not compatible with
  <code><a href="/link/glm?package=VGAM&version=1.0-1&to=stats" rd-options="stats" data-mini-rdoc="stats::glm">glm</a></code>, nor <code>gam</code> (from either
  <pkg>gam</pkg> or <pkg>mgcv</pkg> packages).

vglmff-class: Class ``vglmff''

Description

Arguments

Objects from the Class

Warning

References

See Also

Examples