MetaForest prediction

# S3 method for MetaForest
predict(object, data = NULL, type = "response", ...)

Arguments

object

MetaForest object.

data

New test data of class data.frame.

type

Type of prediction. One of 'response', 'se', 'terminalNodes' with default 'response'. See below for details.

...

further arguments passed to or from other methods.

Value

Object of class MetaForest.prediction with elements

predictionsPredicted classes/values (only for classification and regression)
num.treesNumber of trees.
num.independent.variablesNumber of independent variables.
treetypeType of forest/tree. Classification, regression or survival.
num.samplesNumber of samples.

See also

Examples

set.seed(56) data <- SimulateSMD(k_train = 100, model = es * x[,1] * x[,2]) #Conduct fixed-effects MetaForest analysis mf.fixed <- MetaForest(formula = yi ~ ., data = data$training, whichweights = "fixed", method = "DL") predicted <- predict(mf.fixed, data = data$testing)$predictions r2_cv <- sum((predicted - mean(data$training$yi)) ^ 2)/ sum((data$testing$yi - mean(data$training$yi)) ^ 2)