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Implements Friedman's gradient descent boosting algorithm for longitudinal data using multivariate tree base learners. A timecovariate interaction effect is modeled using penalized Bsplines (Psplines) with estimated adaptive smoothing parameter.
Package details 


Author  Hemant Ishwaran <hemant.ishwaran@gmail.com>, Amol Pande <amoljpande@gmail.com> 
Date of publication  20160412 17:01:36 
Maintainer  Udaya B. Kogalur <ubk@kogalur.com> 
License  GPL (>= 3) 
Version  1.1.0 
URL  http://web.ccs.miami.edu/~hishwaran http://www.kogalur.com 
Package repository  View on CRAN 
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