xplainfi: Feature Importance Methods for Global Explanations
Provides a consistent interface for common feature importance methods as described in Ewald et al. (2024) <doi:10.1007/978-3-031-63797-1_22>, including permutation feature importance (PFI), conditional and relative feature importance (CFI, RFI), leave one covariate out (LOCO), and Shapley additive global importance (SAGE), as well as feature sampling mechanisms to support conditional importance methods.
| Version: | 1.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | checkmate, cli, data.table (≥ 1.15.0), mirai, mlr3 (≥ 1.1.0), mlr3fselect, mvtnorm, paradox (≥ 1.0.0), R6, stats, utils |
| Suggests: | arf, DiagrammeR, foreach, future, future.apply, ggplot2, glue, gower, knitr, knockoff, lgr, mlr3data, mlr3learners, partykit, patchwork, ranger, rmarkdown, rpart, testthat (≥ 3.0.0), withr |
| Published: | 2026-02-26 |
| DOI: | 10.32614/CRAN.package.xplainfi |
| Author: | Lukas Burk  [aut,
cre, cph] |
| Maintainer: | Lukas Burk <cran at lukasburk.de> |
| BugReports: | https://github.com/mlr-org/xplainfi/issues |
| License: | LGPL (≥ 3) |
| URL: | https://mlr-org.github.io/xplainfi/, https://github.com/mlr-org/xplainfi |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | xplainfi results |
Documentation:
| Reference manual: | xplainfi.html , xplainfi.pdf |
| Vignettes: |
Feature Samplers (source, R code) Simulation Settings for Feature Importance Methods (source, R code) Getting Started with xplainfi (source, R code) |
Downloads:
| Package source: | xplainfi_1.1.0.tar.gz |
| Windows binaries: | r-devel: xplainfi_1.1.0.zip, r-release: xplainfi_1.1.0.zip, r-oldrel: xplainfi_1.1.0.zip |
| macOS binaries: | r-release (arm64): xplainfi_1.1.0.tgz, r-oldrel (arm64): xplainfi_1.1.0.tgz, r-release (x86_64): xplainfi_1.1.0.tgz, r-oldrel (x86_64): xplainfi_1.1.0.tgz |
| Old sources: | xplainfi archive |
Linking:
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