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.

Version: 1.2.0
Depends: R (≥ 3.1.0)
Imports: randomForestSRC (≥ 2.5.0), parallel, splines, nlme
Published: 2017-09-05
Author: Hemant Ishwaran, Amol Pande
Maintainer: Udaya B. Kogalur <ubk at kogalur.com>
License: GPL (≥ 3)
URL: http://web.ccs.miami.edu/~hishwaran http://www.kogalur.com
NeedsCompilation: no
Citation: boostmtree citation info
Materials: NEWS
CRAN checks: boostmtree results

Downloads:

Reference manual: boostmtree.pdf
Package source: boostmtree_1.2.0.tar.gz
Windows binaries: r-devel: boostmtree_1.2.0.zip, r-release: boostmtree_1.2.0.zip, r-oldrel: boostmtree_1.2.0.zip
OS X El Capitan binaries: r-release: boostmtree_1.2.0.tgz
OS X Mavericks binaries: r-oldrel: boostmtree_1.2.0.tgz
Old sources: boostmtree archive

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