Predict from a gips LDA model

Computes class assignments, posterior probabilities, and linear discriminant coordinates for new observations.

Usage

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

Arguments

object

A fitted "gipslda" object.

newdata

An optional matrix or data frame of observations. If omitted, the training data are reconstructed from the fitted call.

prior

Prior class probabilities used for prediction.

dimen

Number of discriminant dimensions to use. The default uses all dimensions available in object.

method

Prediction rule: "plug-in", "predictive", or "debiased".

...

Further arguments passed to or from methods.

Value

A list with class (predicted classes), posterior (posterior class probabilities), and x (linear discriminant coordinates).

See also

gipslda, predict.lda