mvtboost (0.5.0)

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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.

Maintainer: Patrick Miller
Author(s): Patrick Miller [aut, cre]

License: GPL (>= 2) | file LICENSE

Uses: gbm, RColorBrewer, ggplot2, lars, plyr, MASS, testthat, knitr, rmarkdown

Released over 3 years ago.

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