predict.MetaForest {metaforest} | R Documentation |
MetaForest prediction
Description
MetaForest prediction
Usage
## S3 method for class 'MetaForest'
predict(object, data = NULL, type = "response", ...)
Arguments
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. |
Value
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. |
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)
[Package metaforest version 0.1.4 Index]