Package: optRF 2.0.0

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.

Authors:Thomas Martin Lange [cre, aut], Felix Heinrich [ctb]

optRF_2.0.0.tar.gz
optRF_2.0.0.zip(r-4.7-any)optRF_2.0.0.zip(r-4.6-any)optRF_2.0.0.zip(r-4.5-any)
optRF_2.0.0.tgz(r-4.6-any)optRF_2.0.0.tgz(r-4.5-any)
optRF_2.0.0.tar.gz(r-4.7-any)optRF_2.0.0.tar.gz(r-4.6-any)
optRF_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
optRF/json (API)

# Install 'optRF' in R:
install.packages('optRF', repos = c('https://tmlange.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tmlange/optrf/issues

Datasets:
  • SNPdata - Simulated data of wheat yield and genomic markers

On CRAN:

Conda:

3.30 score 2 stars 9 scripts 365 downloads 6 exports 23 dependencies

Last updated from:17ec97985e. Checks:7 WARNING, 1 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING140
source / vignettesERROR166
linux-releaseWARNING785
macos-releaseWARNING153
macos-oldrelWARNING190
windows-develWARNING78
windows-releaseWARNING94
windows-oldrelWARNING85
wasm-releaseOK98

Exports:estimate_numtreesestimate_stabilitymeasure_stabilityopt_importanceopt_predictionplot_stability

Dependencies:bootCircStatscombinatdotCall64dtwfieldsirrlatticelpSolvemapsMASSMatrixminpack.lmnnetordinalForestproxyrangerRColorBrewerRcppRcppEigenspamverificationviridisLite