Make predictions from a "MTPS" model
This function makes predictions from a revised stacking model.
## S3 method for class 'MTPS' predict(object, newdata, ...)
object |
A fitted object from |
newdata |
Matrix of new predictors at which predictions are to be made |
... |
additional arguments affecting the predictions produced |
The predicted value from new predictors.
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.