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.

Version: 0.5.0
Depends: R (≥ 3.0.0)
Imports: gbm, RColorBrewer, stats, graphics, grDevices, utils
Suggests: testthat, plyr, MASS, parallel, lars, ggplot2, knitr, rmarkdown
Published: 2016-12-05
Author: Patrick Miller [aut, cre]
Maintainer: Patrick Miller <patrick.mil10 at gmail.com>
BugReports: https://github.com/patr1ckm/mvtboost/issues
License: GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE]
URL: https://github.com/patr1ckm/mvtboost
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mvtboost results

Downloads:

Reference manual: mvtboost.pdf
Vignettes: mvtboost example 1: mpg
mvtboost example 2: Well-being
Package source: mvtboost_0.5.0.tar.gz
Windows binaries: r-prerel: mvtboost_0.5.0.zip, r-release: mvtboost_0.5.0.zip, r-oldrel: mvtboost_0.5.0.zip
OS X binaries: r-prerel: mvtboost_0.5.0.tgz, r-release: mvtboost_0.5.0.tgz
Old sources: mvtboost archive

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