predict.MetaForest.RdMetaForest prediction
# S3 method for MetaForest
predict(object, data = NULL, type = "response", ...)MetaForest object.
New test data of class data.frame.
Type of prediction. One of 'response', 'se', 'terminalNodes' with default 'response'. See below for details.
further arguments passed to or from other methods.
Object of class MetaForest.prediction with elements
predictions | Predicted classes/values (only for classification and regression) |
num.trees | Number of trees. |
num.independent.variables | Number of independent variables. |
treetype | Type of forest/tree. Classification, regression or survival. |
num.samples | Number of samples. |
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)