https://github.com/aberhrml/forestcontrol
Approximate False Positive Rate Control in Selection Frequencies for Random Forest
https://github.com/aberhrml/forestcontrol
randomforest
Last synced: 8 months ago
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Approximate False Positive Rate Control in Selection Frequencies for Random Forest
- Host: GitHub
- URL: https://github.com/aberhrml/forestcontrol
- Owner: aberHRML
- License: other
- Created: 2017-02-14T18:18:50.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2025-08-20T10:22:23.000Z (10 months ago)
- Last Synced: 2025-10-22T03:59:15.554Z (8 months ago)
- Topics: randomforest
- Language: R
- Homepage:
- Size: 1.02 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# forestControl
[](https://lifecycle.r-lib.org/articles/stages.html#stable) [](https://github.com/aberHRML/forestControl/actions/workflows/R-CMD-check.yaml) [](https://codecov.io/gh/aberHRML/forestControl)  [](https://zenodo.org/badge/latestdoi/81975326)
[](https://cran.r-project.org/web/packages/forestControl/index.html)

[](https://github.com/aberHRML/forestControl/releases)
> __Approximate False Positive Rate Control in Selection Frequency for Random Forest__
### Installation
This package can be installed from CRAN by:
```R
install.packages('forestControl')
```
To install the development version of this package, use devtools:
```R
remotes::install_github('aberHRML/forestControl')
```
`forestControl` is an implementation of methods described by Ender Konukoglu and Melanie Ganz in the following publication (available [here](http://arxiv.org/abs/1410.2838))
>__Konukoglu, E., & Ganz, M. (2014). Approximate False Positive Rate Control in Selection Frequency for Random Forest. arXiv.org, cs.LG, 1–26.__
If you find `forestControl` useful please cite the above publication.