predict.MetaForest.Rd
MetaForest prediction
# S3 method for MetaForest predict(object, data = NULL, type = "response", ...)
object |
|
---|---|
data | New test data of class |
type | 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)