patr1ckm/mvtboost: Tree Boosting for Multivariate Outcomes
Version 0.6.0

Fits a multivariate model of decision trees for multiple, continuous outcome variables. A model for each outcome variable is fit separately, selecting predictors that explain covariance in the outcomes. Built on top of 'gbm', which fits an ensemble of decision trees to univariate outcomes.

Getting started

Package details

AuthorPatrick Miller [aut, cre], Daniel B. McArtor [aut]
MaintainerPatrick Miller <[email protected]>
LicenseGPL (>= 2) | file LICENSE
Version0.6.0
URL https://github.com/patr1ckm/mvtboost
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("patr1ckm/mvtboost")
patr1ckm/mvtboost documentation built on July 27, 2017, 8:13 a.m.