predict.mrrr: The function predict.mrrr makes predictions for a...

In lmap: Logistic Mapping

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

Description

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

Usage

## S3 method for class 'mrrr'
predict(object, newX, ...)

Arguments

object	An mrrr object
newX	An N by P matrix with predictor variables for a test/validation set
...	additional arguments to be passed.

Value

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

Ghat	Predicted values for the test set

Examples

## Not run: 
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])
output = mrrr(Y = Y, X = X, S = 2)
preds = predict(output, newX = newX)

## End(Not run)

lmap documentation built on April 3, 2025, 5:47 p.m.