Recursive Partitioning and Regression Trees

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Optimal classification trees (2017, methodology): “For testing the performance of CART, we used the rpart package (Therneau et al. 2015) in the R programming language (R Core Team 2015).”
Adaptive Machine Learning for Credit Card Fraud Detection (2015, methodology): “We started by performing a CV for each technique with different classification algorithms: RF [222], Neural Network (NNET) [228], SVM [228], LB [224] and Decision Tree [229].”
VSURF: An R Package for Variable Selection Using Random Forests (2015, methodology): “Focusing on R packages we must mention rpart (Therneau et al., 2015) for CART, randomForest (Liaw and Wiener, 2002) for RF, party (Hothorn et al., 2006) for CART and RF (through the function cforest ) and ipred (Peters et al., 2002) for bagging (Breiman, 1996), a closely related method cited here…”
Towards Integrative Machine Learning and Knowledge Extraction (2017, methodology): “RL emerged in public health and policy studies as early as year 1946 [5,6].”
Optimal trees for prediction and prescription (2018, methodology): “For testing the performance of CART, we used the rpart package [110] in the R programming language [106].”