R: Shrinkage Discriminant Analysis 3: Prediction Step

predict.sda {sda} | R Documentation

## Shrinkage Discriminant Analysis 3: Prediction Step

### Description

`predict.sda` performs class prediction.

### Usage

    ## S3 method for class 'sda'
    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.

### Author(s)

Miiika Ahdesm\"aki and Korbinian Strimmer (http://strimmerlab.org).

### See Also

`sda`, `sda.ranking`.

### Examples

    # see the examples at the "sda" help page

[Package sda version 1.3.7 Index]