An Introduction to Recursive Partitioning Using the RPART Routines

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Effect Modification and Design Sensitivity in Observational Studies (2013, methodology): “Us- ing the regression trees of Breiman et al. (1983), as implemented in R with default settings in the rpart package of Therneau and Atkinson (1997), we regressed the ranks of |Yi | on age and gender.”
Machine learning techniques for mortality modeling (2017, background): “However, the rpart() command of the ‘rpart’ package is able to cope with such missing data, see [10] for details.”
Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers (2015, methodology): “The base learners used are trees ﬁt by the rpart package (Therneau and Atkinson, 1997) in R .”
Decision-tree analysis of factors influencing rainfall-related building structure and content damage (2014, methodology): “More background on the laser scanning campaign and data quality can be found in Van der Sande et al. (2010) andVan der Zon(2013).”