Package: permimp 1.0-2
permimp: Conditional Permutation Importance
An add-on to the 'party' package, with a faster implementation of the partial-conditional permutation importance for random forests. The standard permutation importance is implemented exactly the same as in the 'party' package. The conditional permutation importance can be computed faster, with an option to be backward compatible to the 'party' implementation. The package is compatible with random forests fit using the 'party' and the 'randomForest' package. The methods are described in Strobl et al. (2007) <doi:10.1186/1471-2105-8-25> and Debeer and Strobl (2020) <doi:10.1186/s12859-020-03622-2>.
Authors:
permimp_1.0-2.tar.gz
permimp_1.0-2.zip(r-4.5)permimp_1.0-2.zip(r-4.4)permimp_1.0-2.zip(r-4.3)
permimp_1.0-2.tgz(r-4.4-any)permimp_1.0-2.tgz(r-4.3-any)
permimp_1.0-2.tar.gz(r-4.5-noble)permimp_1.0-2.tar.gz(r-4.4-noble)
permimp_1.0-2.tgz(r-4.4-emscripten)permimp_1.0-2.tgz(r-4.3-emscripten)
permimp.pdf |permimp.html✨
permimp/json (API)
NEWS
| # Install 'permimp' in R: |
| install.packages('permimp', repos = c('https://ddebeer.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ddebeer/permimp/issues
Last updated 2 years agofrom:0617ae4d15. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 05 2024 |
| R-4.5-win | NOTE | Nov 05 2024 |
| R-4.5-linux | NOTE | 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:as.VarImpis.VarImppermimpplot.VarImpranksselFreq
Dependencies:classclicodetoolscoindata.tablediagramdigestfuturefuture.applyglobalsipredKernSmoothlatticelavalibcoinlistenvMASSMatrixmatrixStatsmodeltoolsmultcompmvtnormnnetnumDerivparallellypartyprodlimprogressrrandomForestRcpprpartsandwichshapeSQUAREMstrucchangesurvivalTH.datazoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Conditional Permutation Importance | permimp-package |
| Random Forest Permutation Importance for random forests | permimp permimp.RandomForest permimp.randomForest |
| Reversed Rankings | ranks ranks.default ranks.VarImp |
| Predictor Selection Frequency in Random Forests | selFreq |
| VarImp Objects | as.VarImp as.VarImp.data.frame as.VarImp.matrix as.VarImp.numeric is.VarImp VarImp |
| Methods for VarImp Objects | plot.VarImp print.VarImp subset.VarImp VarImp-methods |
