predict.sda: Shrinkage Discriminant Analysis 3: Prediction Step
Description
predict.sda performs class prediction.
Usage
"predict"(object, Xtest, verbose=TRUE, ...)
Arguments
object
An sda fit object obtained from the function sda.
Xtest
A matrix containing the test data set. Note that
the rows correspond to observations and the columns
to variables.
verbose
Report shrinkage intensities (sda) and number of used features (predict.sda).
...
Additional arguments for generic predict.
Value
predict.sda predicts class probabilities for each test sample and returns
a list with two components:- class
- a factor with the most probable class assignment for each test sample, and
- posterior
- a matrix containing the respective class posterior probabilities.
Examples
# see the examples at the "sda" help page