# Generalized Random Forests (Beta)

## Documentation for package ‘grf’ version 0.9.5

- DESCRIPTION file.

## Help Pages

causal_forest | Causal forest
custom_forest | Custom forest
estimate_average_effect | Estimate average treatment effects using a causal forest
get_tree | Retrieve a single tree from a trained forest object.
instrumental_forest | Intrumental forest
predict.causal_forest | Predict with a causal forest
predict.custom_forest | Predict with a custom forest.
predict.instrumental_forest | Predict with an instrumental forest
predict.quantile_forest | Predict with a quantile forest
predict.regression_forest | Predict with a regression forest
print.grf | Print a GRF forest object.
print.grf_tree | Print a GRF tree object.
quantile_forest | Quantile forest
regression_forest | Regression forest
split_frequencies | Calculate which features the forest split on at each depth.
variable_importance | Calculate a simple measure of 'importance' for each feature.