A Toolbox for Conditional Inference Random Forests


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Documentation for package ‘moreparty’ version 0.2.1

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BivariateAssoc Bivariate association measures for supervised learning tasks.
fastcforest Parallelized conditional inference random forest
fastvarImp Variable importance for conditional inference random forests
fastvarImpAUC Variable importance (with AUC performance measure) for conditional inference random forests
FeatureSelection Feature selection for conditional random forests.
GetAleData Accumulated Local Effects for a conditional random forest.
GetCtree Gets a tree from a conditional random forest
GetInteractionStrength Strength of interactions
GetPartialData Partial dependence for a conditional random forest.
GetSplitStats Permutation tests results for each split in a conditional tree.
ggForestEffects Dot plot of covariates effects
ggVarImp Dot plot of variable importance
Outliers Computes outliers
Prototypes Prototypes of groups
SurrogateTree Surrogate tree for conditional inference random forests
titanic Titanic dataset