Package: boostmtree
Version: 1.4.1
Date: 2019-11-21
Title: Boosted Multivariate Trees for Longitudinal Data
Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Amol Pande <amoljpande@gmail.com>
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>
Depends: R (>= 3.5.0)
Imports: randomForestSRC (>= 2.9.0), parallel, splines, nlme
Description: Implements Friedman's gradient descent boosting algorithm for modeling of continuous or binary longitudinal response using multivariate tree base learners.  A time-covariate interaction effect is modeled using penalized B-splines (P-splines) with estimated adaptive smoothing parameter.
License: GPL (>= 3)
URL: http://web.ccs.miami.edu/~hishwaran
NeedsCompilation: no
Packaged: 2019-11-21 14:30:25 UTC; kogalur
Repository: CRAN
Date/Publication: 2019-11-21 22:40:16 UTC
