Innovative Complex Split Procedures in Random Forests Through Candidate Split Sampling

---

Documentation for package ‘diversityForest’ version 0.6.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

diversityForest-package	Diversity Forests
ctg	Data on automatic analysis of cardiotocograms
diversityForest	Diversity Forests
divfor	Construct a basic diversity forest prediction rule that uses univariable, binary splitting.
hars	Data on human activity recognition using smartphones
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).
multifor	Construct a random forest prediction rule and calculate class-focused and discriminatory variable importance scores.
plot.interactionfor	Plot method for 'interactionfor' objects
plot.multifor	Plot method for 'multifor' objects
plotEffects	Interaction forest plots: exploring interaction forest results through visualisation
plotMcl	Plots of the (estimated) within-class distributions of variables
plotPair	Plot of the (estimated) simultaneous influence of two variables
plotVar	Plot of the (estimated) dependency structure of a variable 'x' on a categorical variable 'y'
predict.divfor	Diversity Forest prediction
predict.interactionfor	Interaction Forest prediction
predict.multifor	Random forest prediction using a saved forest from 'multifor'
predictions	Diversity Forest predictions
predictions.divfor	Diversity Forest predictions
predictions.divfor.prediction	Diversity Forest predictions
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