R: Models Multivariate Cases Using Random Forests

# Models Multivariate Cases Using Random Forests

## Documentation for package ‘MultivariateRandomForest’ version 1.1.5

- DESCRIPTION file.

## Help Pages

build_forest_predict | Prediction using Random Forest or Multivariate Random Forest
build_single_tree | Model of a single tree of Random Forest or Multivariate Random Forest
CrossValidation | Generate training and testing samples for cross validation
Imputation | Imputation of a numerical vector
Node_cost | Information Gain
predicting | Prediction of testing sample in a node
single_tree_prediction | Prediction of Testing Samples for single tree
splitt2 | Split of the Parent node
split_node | Splitting Criteria of all the nodes of the tree
variable_importance_measure | Calculates variable Importance of a Regression Tree Model