mvtboost
0.5.0Tree Boosting for Multivariate Outcomes
Overview
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.
Install
Health
CRAN check results are not tracked yet.
Documentation
- Examples that run
- 100%
- Documented parameters
- 95%
- Return-value docs
- 70%
- References docs
- 25%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.0.0 released · 2020-04-24
- archivedRemoved from CRAN2019-12-21check problems were not corrected in time
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 0.5.02016-05-25 · diff ↗
- RR 3.3.0 released · 2016-05-03
- archivedRemoved from CRAN2016-05-02check problems were not corrected despite reminders
- 0.4.12016-01-23 · diff ↗
- 0.4.02016-01-16 · diff ↗
- 0.32015-09-24 · diff ↗
- 0.2.12015-07-18
- RR 3.2.0 released · 2015-04-16
Package metadata
- Total releases
- 5
- License
- GPL (>= 2) | file LICENSE OSI
- Minimum R
- ≥ 3.0.0
- Bundled data
- 141 KB / 1 file
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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