R: Extensible, Parallelizable Implementation of the Random Forest Algorithm

# Extensible, Parallelizable Implementation of the Random Forest Algorithm

## Documentation for package ‘Rborist’ version 0.3-11

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

expandfe | Expands forest values into front-end readable vectors.
expandfe.default | Expands forest values into front-end readable vectors.
Export | Exportation Format for rfArb Training Output
Export.default | Exportation Format for rfArb Training Output
forestWeight | Meinshausen forest weights
forestWeight.default | Meinshausen forest weights
predict.arbTrain | predict method for arbTrain result
predict.rfArb | predict method for rfArb result
preformat | Preformatting for Training with Warm Starts
preformat.default | Preformatting for Training with Warm Starts
presample | Forest-wide Observation Sampling
presample.default | Forest-wide Observation Sampling
Rborist | Rapid Decision Tree Construction and Evaluation
Rborist.default | Rapid Decision Tree Construction and Evaluation
RboristNews | NEWS Displayer for Rborist
rfArb | Rapid Decision Tree Construction and Evaluation
rfArb.default | Rapid Decision Tree Construction and Evaluation
rfTrain | Rapid Decision Tree Training
rfTrain.default | Rapid Decision Tree Training
Streamline | Reducing Memory Footprint of Trained Decision Forest
Streamline.rfArb | Reducing Memory Footprint of Trained Decision Forest
validate | Separate Validation of Trained Decision Forest
validate.default | Separate Validation of Trained Decision Forest