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Functions to specify, fit and evaluate generalized nonlinear models.
● Data Source:
CranContrib
● Keywords: models, nonlinear, package, regression
● Alias: gnm-package
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asGnm
(Package: gnm) :
Coerce Linear Model to gnm Object
asGnm is a generic function which coerces objects of class "glm" or "lm" to an object of class "gnm".
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: asGnm
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model.matrix.gnm
(Package: gnm) :
Local Design Matrix for a Generalized Nonlinear Model
This method extracts or evaluates a local design matrix for a generalized nonlinear model
● Data Source:
CranContrib
● Keywords: models, nonlinear, regression
● Alias: model.matrix.gnm
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predict.gnm
(Package: gnm) :
Predict Method for Generalized Nonlinear Models
Obtains predictions and optionally estimates standard errors of those predictions from a fitted generalized nonlinear model object.
● Data Source:
CranContrib
● Keywords: models, nonlinear
● Alias: predict.gnm
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Topo
(Package: gnm) :
Topological Interaction of Factors
Given two or more factors Topo creates an interaction factor as specified by an array of levels, which may be arbitrarily structured.
● Data Source:
CranContrib
● Keywords: models
● Alias: Topo
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se
(Package: gnm) :
Standard Errors of Linear Parameter Combinations in gnm Models
Computes approximate standard errors for (a selection of) individual parameters or one or more linear combinations of the parameters in a gnm (generalized nonlinear model) object. By default, a check is made first on the estimability of each specified combination.
● Data Source:
CranContrib
● Keywords: models, nonlinear, regression
● Alias: se
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wedderburn
(Package: gnm) :
Wedderburn Quasi-likelihood Family
Creates a family object for use with glm, gnm, etc., for the variance function [μ(1-μ)]^2 introduced by Wedderburn (1974) for response values in [0,1].
● Data Source:
CranContrib
● Keywords: models
● Alias: wedderburn
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meanResiduals
(Package: gnm) :
Average Residuals within Factor Levels
Computes the mean working residuals from a model fitted using Iterative Weighted Least Squares for each level of a factor or interaction of factors.
● Data Source:
CranContrib
● Keywords: models, nonlinear, regression
● Alias: meanResiduals
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MultHomog
(Package: gnm) :
Specify a Multiplicative Interaction with Homogeneous Effects in
A function of class "nonlin" to specify a multiplicative interaction with homogeneous effects in the formula argument to gnm.
● Data Source:
CranContrib
● Keywords: models, nonlinear, regression
● Alias: MultHomog
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parameters
(Package: gnm) :
Extract Constrained and Estimated Parameters from a gnm Object
A function to extract non-eliminated parameters from a "gnm" object, including parameters that were constrained.
● Data Source:
CranContrib
● Keywords: models
● Alias: parameters
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