sda: predict.sda – R documentation

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predict.sda

Shrinkage Discriminant Analysis 3: Prediction Step

predict.sda performs class prediction.

## S3 method for class 'sda'
predict(object, Xtest, verbose=TRUE, ...)

`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.

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.

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

# see the examples at the "sda" help page

Shrinkage Discriminant Analysis and CAT Score Variable Selection

v1.3.7

GPL (>= 3)

Authors

Miika Ahdesmaki, Verena Zuber, Sebastian Gibb, and Korbinian Strimmer

Initial release

2015-07-08