Package: randomPlantedForest 0.5.0.9000

randomPlantedForest: Random Planted Forest: A Directly Interpretable Tree Ensemble

Implements Random Planted Forest (Hiabu, Mammen and Meyer, 2020) <doi:10.48550/arXiv.2012.14563>, a directly interpretable tree ensemble for regression and classification. Trees are restricted to a maximum number of interacting predictors, so the fitted model decomposes exactly into main effects and low-order interactions, a functional ANOVA decomposition that can be extracted for interpretation. Fitting and prediction are multithreaded, and fitted models can be serialized.

Authors:Joseph Theo Meyer [aut], Munir Hiabu [aut], Maike Spankus [aut], Marvin N. Wright [aut], Lukas Burk [cre, aut]