Package: vita 1.0.0
Ender Celik
vita: Variable Importance Testing Approaches
Implements the novel testing approach by Janitza et al.(2015) <http://nbn-resolving.de/urn/resolver.pl?urn=nbn:de:bvb:19-epub-25587-4> for the permutation variable importance measure in a random forest and the PIMP-algorithm by Altmann et al.(2010) <doi:10.1093/bioinformatics/btq134>. Janitza et al.(2015) <http://nbn-resolving.de/urn/resolver.pl?urn=nbn:de:bvb:19-epub-25587-4> do not use the "standard" permutation variable importance but the cross-validated permutation variable importance for the novel test approach. The cross-validated permutation variable importance is not based on the out-of-bag observations but uses a similar strategy which is inspired by the cross-validation procedure. The novel test approach can be applied for classification trees as well as for regression trees. However, the use of the novel testing approach has not been tested for regression trees so far, so this routine is meant for the expert user only and its current state is rather experimental.
Authors:
vita_1.0.0.tar.gz
vita_1.0.0.tar.gz(r-4.5-noble)vita_1.0.0.tar.gz(r-4.4-noble)
vita_1.0.0.tgz(r-4.4-emscripten)vita_1.0.0.tgz(r-4.3-emscripten)
vita.pdf |vita.html✨
vita/json (API)
# Install 'vita' in R: |
install.packages('vita', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:177e2c3f74. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 22 2024 |
R-4.5-linux-x86_64 | OK | Dec 22 2024 |
Exports:compVarImpCVPVINTAPIMPPimpTestVarImpCVl
Dependencies:randomForestRcpp
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Variable importance testing approaches (vita) | vita-package |
Compute permutation variable importance measure | compVarImp |
Cross-validated permutation variable importance measure | CVPVI CVPVI.default print.CVPVI |
Novel testing approach | NTA NTA.default print.NTA |
PIMP-algorithm for the permutation variable importance measure | PIMP PIMP.default print.PIMP |
PIMP testing approach | PimpTest PimpTest.default print.PimpTest |
Summarizing the results of novel testing approach | print.summary.NTA summary.NTA |
Summarizing PIMP-algorithm outcomes | print.summary.PimpTest summary.PimpTest |
Fold-specific permutation variable importance measure | VarImpCVl |