NEWS.md

In moreparty: A Toolbox for Conditional Inference Trees and Random Forests

moreparty 0.4

New function

• NodeTreePlot(): plots the results of each node of a conditional inference tree
• PerfsRegression(): performance measures for regression tasks
• PerfsBinClassif(): performance measures for binary classification tasks
• NodesInfo(): informations for each terminal node of a conditional inference tree
• TreeStab(): assesses the stability of a conditional inference tree by using bootstrap replications

Changes in existing functions:

• NiceTreePlot(): new arguments (cex and justmin)
• GetSplitStats(): new summary element in the results + the function is no longer compatible with trees from the party package

moreparty 0.3.3 [CRAN]

• dependency to 0.4.1 version of vip package

moreparty 0.3.2 [CRAN]

• bug fixes due to change in vip package

moreparty 0.3.1 [CRAN]

• bug fix in vignettes due to changes in dependencies

moreparty 0.3 [CRAN]

New functions:

• NiceTreePlot(): plots conditional inference trees
• EasyTreeVarImp(): variable importance for conditional inference trees
• ctreeUI() and ctreeServer(): shiny module to build and analyse conditional inference trees
• ictree(): interactive (shiny) app for conditional inference trees

Changes in existing functions:

• GetSplitStats() : results have been rearranged and a 'ratio' column has been added

moreparty 0.2 [CRAN]

New functions:

• GetInteractionData(): measures second order interactions between the covariates of a random forest
• GetPartialData(): computes partial dependencies of the covariates of a random forest
• ggForestEffects(): plots the effects of the covariates of a random forest in a ggplot dot plot
• ggVarImp(): plots variable importances of the covariates of a random forest in a ggplot dot plot

Changes in existing functions:

• GetAleData(): bug fix for regression tasks

moreparty documentation built on Nov. 22, 2023, 5:08 p.m.