lmap (version 0.2.4)

predict.mru: The function predict.mru makes predictions for a test/validation set based on a fitted mru model

Description

The function predict.mru makes predictions for a test/validation set based on a fitted mru model

Usage

# S3 method for mru
predict(object, newX, newG = NULL, ...)

Value

This function returns an object of the class p.mru with components:

Yhat

Predicted values for the test set

dev

Estimated prediction deviance

Arguments

object

An mru object

newX

An N by P matrix with predictor variables for a test/validation set

newG

An N by R matrix with response variables for a test/validation set

...

additional arguments to be passed.

Examples

if (FALSE) {
data(dataExample_lpca)
Y = as.matrix(dataExample_mru[-c(1:20) , 1:8])
X = as.matrix(dataExample_mru[-c(1:20) , 9:13])
newY = as.matrix(dataExample_mru[1:20 , 1:8])
newX = as.matrix(dataExample_mru[1:20 , 9:13])
# supervised
output = mru(Y = Y, X = X, S = 2)
preds = predict(output, newX = newX, newY = newY)
}