Predict from a joint-projection gips QDA model

Computes class assignments and posterior probabilities from a fitted "gipsmultqda" model. Prediction rules match those of predict.gipsqda; the fitted covariance estimates differ because they were projected jointly.

Usage

# S3 method for class 'gipsmultqda'
predict(
  object,
  newdata,
  prior = object$prior,
  method = c("plug-in", "predictive", "debiased", "looCV"),
  ...
)

Arguments

object

A fitted "gipsmultqda" 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.

Value

A list with class (predicted classes) and posterior (posterior class probabilities).

See also

gipsmultqda, predict.gipsqda