DESCRIPTION

Package: mvtboost
Type: Package
Title: Tree Boosting for Multivariate Outcomes
Version: 0.6.0
Date: 2017-01-25
Author: Patrick Miller [aut, cre], Daniel B. McArtor [aut]
Maintainer: Patrick Miller <patrick.mil10@gmail.com>
Description: 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.
License: Apache License (== 2.0) | file LICENSE
URL: https://github.com/patr1ckm/mvtboost
BugReports: https://github.com/patr1ckm/mvtboost/issues
Depends:
    R (>= 3.0.0),
    gbm (>= 2.2)
Suggests:
    testthat,
    parallel,
    knitr,
    rmarkdown,
    ggplot2
Imports:
    stats,
    graphics,
    grDevices,
    utils,
    lme4,
    methods,
    pbmcapply
Remotes: 
  patr1ckm/gbm
VignetteBuilder: knitr
RoxygenNote: 6.0.1