Package: ranger 0.17.0
Marvin N. Wright
ranger: A Fast Implementation of Random Forests
A fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles of classification, regression, survival and probability prediction trees are supported. Data from genome-wide association studies can be analyzed efficiently. In addition to data frames, datasets of class 'gwaa.data' (R package 'GenABEL') and 'dgCMatrix' (R package 'Matrix') can be directly analyzed.
Authors:
ranger_0.17.0.tar.gz
ranger_0.17.0.zip(r-4.5)ranger_0.17.0.zip(r-4.4)ranger_0.17.0.zip(r-4.3)
ranger_0.17.0.tgz(r-4.4-x86_64)ranger_0.17.0.tgz(r-4.4-arm64)ranger_0.17.0.tgz(r-4.3-x86_64)ranger_0.17.0.tgz(r-4.3-arm64)
ranger_0.17.0.tar.gz(r-4.5-noble)ranger_0.17.0.tar.gz(r-4.4-noble)
ranger_0.17.0.tgz(r-4.4-emscripten)ranger_0.17.0.tgz(r-4.3-emscripten)
ranger.pdf |ranger.html✨
ranger/json (API)
NEWS
| # Install 'ranger' in R: |
| install.packages('ranger', repos = c('https://imbs-hl.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/imbs-hl/ranger/issues
Last updated 4 days agofrom:af66626cbe. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-win-x86_64 | OK | Nov 08 2024 |
| R-4.5-linux-x86_64 | OK | Nov 08 2024 |
| R-4.4-win-x86_64 | OK | Nov 08 2024 |
| R-4.4-mac-x86_64 | OK | Nov 08 2024 |
| R-4.4-mac-aarch64 | OK | Nov 08 2024 |
| R-4.3-win-x86_64 | OK | Nov 08 2024 |
| R-4.3-mac-x86_64 | OK | Nov 08 2024 |
| R-4.3-mac-aarch64 | OK | Nov 08 2024 |
Exports:csrfdeforestgetTerminalNodeIDsholdoutRFhshrinkimportanceimportance_pvaluespredictionsrangertimepointstreeInfo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Case-specific random forests. | csrf |
| Deforesting a random forest | deforest deforest.ranger |
| Get terminal node IDs (deprecated) | getTerminalNodeIDs |
| Hold-out random forests | holdoutRF |
| Hierarchical shrinkage | hshrink |
| ranger variable importance p-values | importance_pvalues |
| ranger variable importance | importance importance.ranger |
| Parse formula | parse.formula |
| Ranger prediction | predict.ranger |
| Ranger prediction | predict.ranger.forest |
| Ranger predictions | predictions.ranger |
| Ranger predictions | predictions predictions.ranger.prediction |
| Print deforested ranger summary | print.deforest.ranger |
| Print Ranger | print.ranger |
| Print Ranger forest | print.ranger.forest |
| Print Ranger prediction | print.ranger.prediction |
| Ranger | ranger |
| Ranger timepoints | timepoints timepoints.ranger |
| Ranger timepoints | timepoints.ranger.prediction |
| Tree information in human readable format | treeInfo |
