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: | 0.4.1 |
| Depends: | R (≥ 3.0.0) |
| Imports: | gbm, RColorBrewer, stats, graphics, grDevices, utils |
| Suggests: | testthat, plyr, MASS, parallel, lars, ggplot2, knitr, rmarkdown |
| Published: | 2016-01-23 |
| 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 |
| CRAN checks: | mvtboost results |
| Reference manual: | mvtboost.pdf |
| Vignettes: |
mvtboost example 1: mpg mvtboost example 2: Well-being |
| Package source: | mvtboost_0.4.1.tar.gz |
| Windows binaries: | r-devel: mvtboost_0.4.1.zip, r-release: mvtboost_0.4.1.zip, r-oldrel: mvtboost_0.4.1.zip |
| OS X Snow Leopard binaries: | r-release: mvtboost_0.4.1.tgz, r-oldrel: not available |
| OS X Mavericks binaries: | r-release: mvtboost_0.4.1.tgz |
| Old sources: | mvtboost archive |