mvtboost: Tree Boosting for Multivariate Outcomes

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.

Package details

AuthorPatrick Miller [aut, cre]
MaintainerPatrick Miller <>
LicenseGPL (>= 2) | file LICENSE
Package repositoryView on CRAN
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mvtboost documentation built on May 2, 2019, 2:14 p.m.