Generic Utility Functions
A collection of standard generic functions for which other packages provide methods.
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())
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. |
Integrated Completed Likelihood criterion for model selection.
Kullback-Leibler divergence.
S4 generic for lapply
Get cluster membership information from a model or compute it for new data.
Get single model from a collection of models.
Get parameters of a model (similar to but more
general than coefficients).
Get posterior probabilities from a model or compute posteriors for new data.
Get prior probabilities from a model.
Refit a model (usually to obtain additional information that was not computed or stored during the initial fitting process).
Relabel a model (usually to obtain a new permutation of labels in mixture models or cluster objects).
Friedrich Leisch
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