Innovative Complex Split Procedures in Random Forests Through Candidate Split Sampling


[Up] [Top]

Documentation for package ‘diversityForest’ version 0.4.0

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