NodeTreePlot(): plots the results of each node of a conditional inference treePerfsRegression(): performance measures for regression tasksPerfsBinClassif(): performance measures for binary classification tasksNodesInfo(): informations for each terminal node of a conditional inference treeTreeStab(): assesses the stability of a conditional inference tree by using bootstrap replicationsNiceTreePlot(): new arguments (cex and justmin)GetSplitStats(): new summary element in the results + the function is no longer compatible with trees from the party packageNiceTreePlot(): plots conditional inference treesEasyTreeVarImp(): variable importance for conditional inference treesctreeUI() and ctreeServer(): shiny module to build and analyse conditional inference treesictree(): interactive (shiny) app for conditional inference treesGetSplitStats() : results have been rearranged and a ‘ratio’ column has been addedGetInteractionData(): measures second order interactions between the covariates of a random forestGetPartialData(): computes partial dependencies of the covariates of a random forestggForestEffects(): plots the effects of the covariates of a random forest in a ggplot dot plotggVarImp(): plots variable importances of the covariates of a random forest in a ggplot dot plotGetAleData(): bug fix for regression tasks