Package: MulvariateRandomForestVarImp 0.0.6
MulvariateRandomForestVarImp: Variable Importance Measures for Multivariate Random Forests
Calculates two sets of post-hoc variable importance measures for multivariate random forests. The first set of variable importance measures are given by the sum of mean split improvements for splits defined by feature j measured on user-defined examples (i.e., training or testing samples). The second set of importance measures are calculated on a per-outcome variable basis as the sum of mean absolute difference of node values for each split defined by feature j measured on user-defined examples (i.e., training or testing samples). The user can optionally threshold both sets of importance measures to include only splits that are statistically significant as measured using an F-test.
Authors:
MulvariateRandomForestVarImp_0.0.6.tar.gz
MulvariateRandomForestVarImp_0.0.6.zip(r-4.5)MulvariateRandomForestVarImp_0.0.6.zip(r-4.4)MulvariateRandomForestVarImp_0.0.6.zip(r-4.3)
MulvariateRandomForestVarImp_0.0.6.tgz(r-4.4-any)MulvariateRandomForestVarImp_0.0.6.tgz(r-4.3-any)
MulvariateRandomForestVarImp_0.0.6.tar.gz(r-4.5-noble)MulvariateRandomForestVarImp_0.0.6.tar.gz(r-4.4-noble)
MulvariateRandomForestVarImp_0.0.6.tgz(r-4.4-emscripten)MulvariateRandomForestVarImp_0.0.6.tgz(r-4.3-emscripten)
MulvariateRandomForestVarImp.pdf |MulvariateRandomForestVarImp.html✨
MulvariateRandomForestVarImp/json (API)
# Install 'MulvariateRandomForestVarImp' in R: |
install.packages('MulvariateRandomForestVarImp', repos = c('https://megatvini.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/megatvini/vim/issues
- EbirdData - Training and Test sets for Multispecies Ebird data
Last updated 3 months agofrom:327ce45e23. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 05 2024 |
R-4.5-win | OK | Nov 05 2024 |
R-4.5-linux | OK | Nov 05 2024 |
R-4.4-win | OK | Nov 05 2024 |
R-4.4-mac | OK | Nov 05 2024 |
R-4.3-win | OK | Nov 05 2024 |
R-4.3-mac | OK | Nov 05 2024 |
Exports:MeanOutcomeDifferenceMeanSplitImprovement
Dependencies:bootstrapMASSMultivariateRandomForestRcpp
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Training and Test sets for Multispecies Ebird data | EbirdData |
Mean Outcome Difference Importance Function | MeanOutcomeDifference |
Mean Split Improvement Importance Function | MeanSplitImprovement |