# Innovative Complex Split Procedures in Random Forests Through Candidate Split Sampling

## Documentation for package ‘diversityForest’ version 0.4.0

- DESCRIPTION file.
- Package NEWS.

## Help Pages

diversityForest-package | Diversity Forests
diversityForest | Diversity Forests
divfor | Construct a basic diversity forest prediction rule that uses univariable, binary splitting.
importance | Diversity Forest variable importance
importance.divfor | Diversity Forest variable importance
interactionfor | Construct an interaction forest prediction rule and calculate EIM values as described in Hornung & Boulesteix (2022).
plot.interactionfor | Plot method for 'interactionfor' objects
plotEffects | Interaction forest plots: exploring interaction forest results through visualisation
plotPair | Plot of the (estimated) simultaneous influence of two variables
predict.divfor | Diversity Forest prediction
predict.interactionfor | Interaction Forest prediction
stock | Data on stock prices of aerospace companies
tunedivfor | Optimization of the values of the tuning parameters 'nsplits' and 'proptry'
zoo | Data on biological species