R: Generic Utility Functions

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, ...)
    Lapply(object, FUN, ...)
    clusters(object, newdata, ...)
    getModel(object, ...)
    parameters(object, ...)
    posterior(object, newdata, ...)
    prior(object, ...)
    refit(object, newdata, ...)
    relabel(object, by, ...)
    ParseFormula(formula, data = list())

### Arguments

`object` | S4 classed object.
`formula` | A model formula.
`data` | An optional data frame.
`FUN` | The function to be applied.
`newdata` | Optional new data.
`by` | Typically a character string specifying how to relabel the object.
`...` | Some methods for these generic function may take additional, optional arguments.

### Details

ICL:

  Integrated Completed Likelihood criterion for model selection.

KLdiv:

  Kullback-Leibler divergence.

Lapply:

  S4 generic for `lapply`

clusters:

  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).

relabel:

  Relabel a model (usually to obtain a new permutation of labels in mixture models or cluster objects).

### Author(s)

Friedrich Leisch

[Package modeltools version 0.2-22 Index]