MTPS (version 1.0.2)

predict.MTPS: Make predictions from a "MTPS" model

Description

This function makes predictions from a revised stacking model.

Usage

# S3 method for MTPS
predict(object, newdata, ...)

Value

The predicted value from new predictors.

Arguments

object

A fitted object from "MTPS"

newdata

Matrix of new predictors at which predictions are to be made

...

additional arguments affecting the predictions produced

Examples

data("HIV")
set.seed(1)
xmat <- as.matrix(XX)
ymat <- as.matrix(YY)
id <- createFolds(rowMeans(XX), k=5, list=FALSE)
training.id <- id != 1
y.train <- ymat[training.id, ]
y.test  <- ymat[!training.id, ]
x.train <- xmat[training.id, ]
x.test  <- xmat[!training.id, ]
# Cross-Validation Residual Stacking
fit.rs <- MTPS(xmat = x.train, ymat = y.train,
  family = "gaussian",cv = FALSE, residual = TRUE,
  method.step1 = rpart1, method.step2 = lm1)
pred.rs <- predict(fit.rs, x.test)