This function merges two forests. The trees are combined and the variable importance is calculated as a weighted average of the two forests. If the forests are trained on the same data, the predictions and oob_predictions are combined as well.
mergeForest(fit1, fit2)merged SDForest object
set.seed(1)
n <- 50
X <- matrix(rnorm(n * 5), nrow = n)
y <- sign(X[, 1]) * 3 + rnorm(n)
fit1 <- SDForest(x = X, y = y, Q_type = 'no_deconfounding', nTree = 5, cp = 0.5)
fit2 <- SDForest(x = X, y = y, nTree = 5, cp = 0.5)
mergeForest(fit1, fit2)