put.smart

a list containing parameters needed later for smart prediction.

smart

Adds a list to the end of the list <code>.smart.prediction</code>
in
<code>smartpredenv</code>.

models

regression

programming

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.

Thomas Yee

VGAM

Vector Generalized Linear and Additive Models

put.smart function

The variable <code>.smart.prediction.counter</code> in
  <code>smartpredenv</code>
  is incremented beforehand,
  and <code>.smart.prediction[[.smart.prediction.counter]]</code> is
  assigned the list <code>smart</code>. 
  If the list <code>.smart.prediction</code> in
  <code>smartpredenv</code>
  is not long enough
  to hold <code>smart</code>, then it is made larger, and the variable
  <code>.max.smart</code> in
  <code>smartpredenv</code>
  is adjusted accordingly.

put.smart: Adds a List to the End of the List ``.smart.prediction''

Description

Usage

Arguments

Value

Side Effects

Details

See Also

Examples