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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.
Browse package contents
Package details |
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| Author | Patrick Miller [aut, cre] |
| Maintainer | Patrick Miller <patrick.mil10@gmail.com> |
| License | GPL (>= 2) | file LICENSE |
| Version | 0.5.0 |
| URL | https://github.com/patr1ckm/mvtboost |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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