boostmtree: Boosted Multivariate Trees for Longitudinal Data
Version 1.1.0

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.

Getting started

Package details

AuthorHemant Ishwaran <hemant.ishwaran@gmail.com>, Amol Pande <amoljpande@gmail.com>
Date of publication2016-04-12 17:01:36
MaintainerUdaya B. Kogalur <ubk@kogalur.com>
LicenseGPL (>= 3)
Version1.1.0
URL http://web.ccs.miami.edu/~hishwaran http://www.kogalur.com
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("boostmtree")

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boostmtree documentation built on May 30, 2017, 6:06 a.m.