boostmtree

R package boostmtree: Boosted Multivariate Trees for Longitudinal Data. Implements Friedman’s gradient descent boosting algorithm for longitudinal data using multivariate tree base learners. A time-covariate interaction effect is modeled using penalized B-splines (P-splines) with estimated adaptive smoothing parameter.

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References in zbMATH (referenced in 2 articles )

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  1. Quan, Zhiyu; Valdez, Emiliano A.: Predictive analytics of insurance claims using multivariate decision trees (2018)
  2. Pande, Amol; Li, Liang; Rajeswaran, Jeevanantham; Ehrlinger, John; Kogalur, Udaya B.; Blackstone, Eugene H.; Ishwaran, Hemant: Boosted multivariate trees for longitudinal data (2017)