Last data update: 2014.03.03
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R: Generic Utility Functions
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.
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formula |
A model formula.
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data |
An optional data frame.
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FUN |
The function to be applied.
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newdata |
Optional new data.
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by |
Typically a character string specifying how to relabel the object.
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... |
Some methods for these generic function may take
additional, optional arguments.
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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
Results
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