Package: optRF 1.0.1
Thomas Martin Lange
optRF: Optimising Random Forest Stability Through Selection of 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:
optRF_1.0.1.tar.gz
optRF_1.0.1.tar.gz(r-4.5-noble)optRF_1.0.1.tar.gz(r-4.4-noble)
optRF_1.0.1.tgz(r-4.4-emscripten)optRF_1.0.1.tgz(r-4.3-emscripten)
optRF.pdf |optRF.html✨
optRF/json (API)
| # Install 'optRF' in R: |
| install.packages('optRF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- SNPdata - Simulated data of wheat yield and genomic markers
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:37918bacb0. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-linux | OK | Nov 23 2024 |
Exports:estimate_numtreesestimate_stabilityopt_importanceopt_predictionplot_stability
Dependencies:irrlatticelpSolveMatrixminpack.lmrangerRcppRcppEigen
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimate the required number of trees | estimate_numtrees |
| Estimate the stability of random forest | estimate_stability |
| Optimise random forest for estimation of variable importance | opt_importance |
| Optimise random forest for prediction | opt_prediction |
| Plot random forest stability | plot_stability |
| Simulated data of wheat yield and genomic markers | SNPdata |