Computes class assignments and posterior probabilities from a fitted
"gipsqda" model.
Arguments
- object
A fitted
"gipsqda"object.- newdata
An optional matrix or data frame of observations. Omit this argument when using
method = "looCV".- prior
Prior class probabilities used for prediction.
- method
Prediction rule:
"plug-in","predictive","debiased", or"looCV". Leave-one-out prediction classifies the reconstructed training observations.- ...
Further arguments passed to or from methods.