Generics {modeltools}R Documentation

Generic Utility Functions

Description

A collection of standard generic functions for which other packages provide methods.

Usage

ICL(object, ...)
KLdiv(object, ...)
cluster(object, newdata, ...)
getModel(object, ...)
parameters(object, ...)
posterior(object, newdata, ...)
prior(object, ...)
refit(object, ...)

Arguments

object S4 classed object.
newdata Optional new data.
... Some methods for these generic function may take additional, optional arguments.

Details

ICL:
Integrated Completed Likelihood criterion for model selection.
KLdiv:
Kullback-Leibler divergence.
cluster:
Get cluster membership information from a model or compute it for new data.
getModel:
Get single model from a collection of models.
parameters:
Get parameters of a model (similar to but more general than coefficients).
posterior:
Get posterior probabilities from a model or compute posteriors for new data.
prior:
Get prior probabilities from a model.
refit:
Refit a model (usually to obtain additional information that was not computed or stored during the initial fitting process).

Author(s)

Friedrich Leisch


[Package modeltools version 0.2-11 Index]