biplot,rrvglm-method

biplot,qrrvglm-method

<code>biplot</code> is a generic function applied to RR-VGLMs and QRR-VGLMs etc.
 These apply to rank-1 and rank-2 models of these only.
 For RR-VGLMs these plot the second latent variable scores against the
 first latent variable scores.

classes

models

methods

regression

biplot-methods

An implementation of about 6 major classes of
statistical regression models. The central algorithm is
Fisher scoring and iterative reweighted least squares.
At the heart of this package are the vector generalized linear
and additive model (VGLM/VGAM) classes. VGLMs can be loosely
thought of as multivariate GLMs. VGAMs are data-driven
VGLMs that use smoothing. The book "Vector Generalized
Linear and Additive Models: With an Implementation in R"
(Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of
the statistical framework and the package. Currently only
fixed-effects models are implemented. Many (150+) models and
distributions are estimated by maximum likelihood estimation
(MLE) or penalized MLE. 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

Cleve Moler

biplot-methods function

<dl class="dl-horizontal"><dt>x</dt><dd>The object from which the latent variables are
 extracted and/or plotted.</dd>
</dl>

Methods

Biplot of Constrained Regression Models — biplot-methods

Biplot of Constrained Regression Models

biplot-methods: Biplot of Constrained Regression Models

Description

Arguments

Methods