boostmtree: Boosted Multivariate Trees for Longitudinal Data
Version 1.2.0

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 <[email protected]>, Amol Pande <[email protected]>
Date of publication2017-09-05 13:49:27 UTC
MaintainerUdaya B. Kogalur <[email protected]>
LicenseGPL (>= 3)
Version1.2.0
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 Sept. 5, 2017, 5:03 p.m.