smart.expression

<code>smart.expression</code> is an S expression for 
 a smart function to call itself. It is best if you go through it line
 by line, but most users will not need to know anything about it. 
 It requires the primary argument of the smart function to be called
 <code>"x"</code>.The list component <code>match.call</code> must be assigned the 
 value of <code>match.call()</code> in the smart function; this is so
 that the smart function can call itself later.

models

regression

programming

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). Hauck-Donner effect detection is implemented.
Note that these functions are subject to change;
see the NEWS and ChangeLog files for latest changes.

smart.expression: S Expression for Smart Functions

Description

Arguments

See Also

Examples