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optRF: Optimising Random Forest Stability by Determining the OptimalNumber 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 LangeORCID iD [cre, aut], Felix HeinrichORCID 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:

Please use the canonical formhttps://CRAN.R-project.org/package=optRFto link to this page.


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