calibrate,rrvglm-method

calibrate,Coef.qrrvglm-method


  <code>calibrate</code> is a generic function applied to QRR-VGLMs and 
  RR-VGAMs etc.<p></p><p></p>

classes

models

methods

regression

calibrate-methods

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)
<DOI:10.1007/978-1-4939-2818-7>
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

calibrate-methods function

<dl> <dt>object</dt><dd>
  The object from which the calibration is performed. </dd> </dl> 

Methods


  <code>calibrate</code> is a generic function applied to QRR-VGLMs and 
  RR-VGAMs etc.



calibrate-methods: Calibration for Constrained Regression Models

Description

Arguments

Methods