optRF: Optimising Random Forest Stability by Determining the Optimal Number of Trees

Calculating the stability of random forest with certain numbers of trees. The non-linear relationship between stability and numbers of trees is described using a logistic regression model and used to estimate the optimal number of trees.

Version: 1.2.1
Depends: R (≥ 3.6.0)
Imports: minpack.lm (≥ 1.2-2), ranger (≥ 0.12.0), irr (≥ 0.82), graphics, methods, stats
Suggests: covr, knitr, rmarkdown, spelling, testthat
Published: 2025-05-08
DOI: 10.32614/CRAN.package.optRF
Author: Thomas Martin Lange ORCID iD [cre, aut], Felix Heinrich ORCID iD [ctb]
Maintainer: Thomas Martin Lange <thomas.lange at uni-goettingen.de>
BugReports: https://github.com/tmlange/optRF/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/tmlange/optRF
NeedsCompilation: no
Citation: optRF citation info
Materials: README, NEWS
CRAN checks: optRF results

Documentation:

Reference manual: optRF.html , optRF.pdf
Vignettes: Optimising random forest using optRF (source, R code)
Optimising random forest for variable selection (source, R code)
Optimising random forest for prediction based decision-making processes (source, R code)

Downloads:

Package source: optRF_1.2.1.tar.gz
Windows binaries: r-devel: optRF_1.2.1.zip, r-release: optRF_1.2.1.zip, r-oldrel: optRF_1.2.1.zip
macOS binaries: r-release (arm64): optRF_1.2.1.tgz, r-oldrel (arm64): optRF_1.2.1.tgz, r-release (x86_64): optRF_1.2.1.tgz, r-oldrel (x86_64): optRF_1.2.1.tgz
Old sources: optRF archive

Linking:

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