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 |