linkfun.vglm

Object of class <code>"vglm"</code>, i.e., a VGLM object.

object

Logical.
    Return the extra arguments associated with each
    link function? If <code>TRUE</code>  then a list is returned.

earg

Arguments that might be used
    in the future.

Returns the link functions, and parameter names,
for <em>vector generalized linear models</em> (VGLMs).

models

regression

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.

linkfun.vglm: Link Functions for VGLMs

Description

Usage

Arguments

Value

Details

See Also

Examples