Package: xplainfi 1.1.0

Lukas Burk

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.

Authors:Lukas Burk [aut, cre, cph]

xplainfi_1.1.0.tar.gz
xplainfi_1.1.0.zip(r-4.7)xplainfi_1.1.0.zip(r-4.6)xplainfi_1.1.0.zip(r-4.5)
xplainfi_1.1.0.tgz(r-4.6-any)xplainfi_1.1.0.tgz(r-4.5-any)
xplainfi_1.1.0.tar.gz(r-4.7-any)xplainfi_1.1.0.tar.gz(r-4.6-any)
xplainfi_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
xplainfi/json (API)
NEWS

# Install 'xplainfi' in R:
install.packages('xplainfi', repos = c('https://mlr-org.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mlr-org/xplainfi/issues

Pkgdown/docs site:https://mlr-org.github.io

On CRAN:

Conda:

feature-importanceinterpretable-machine-learningmachine-learningmlr3statistical-inferencevariable-importance

6.30 score 5 stars 11 scripts 193 downloads 31 exports 31 dependencies

Last updated from:5ae1b5fb02 (on v1.1.0). Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK236
source / vignettesOK304
linux-release-x86_64OK230
macos-release-arm64OK185
macos-oldrel-arm64OK156
windows-develOK187
windows-releaseOK230
windows-oldrelOK178
wasm-releaseOK129

Exports:CFIcheck_groupsConditionalARFSamplerConditionalCtreeSamplerConditionalGaussianSamplerConditionalKNNSamplerConditionalSAGEConditionalSamplerFeatureImportanceMethodFeatureSamplerKnockoffGaussianSamplerKnockoffSamplerLOCOMarginalPermutationSamplerMarginalReferenceSamplerMarginalSAGEMarginalSamplerPerturbationImportancePFIRFIrsmp_all_testSAGEsim_dgp_confoundedsim_dgp_correlatedsim_dgp_ewaldsim_dgp_independentsim_dgp_interactionssim_dgp_mediatedWVIMwvim_design_matrixxplain_opt

Dependencies:backportsbbotkcheckmateclicodetoolsdata.tabledigestevaluatefuturefuture.applyglobalslatticelgrlistenvMatrixmiraimlbenchmlr3mlr3fselectmlr3measuresmlr3miscmvtnormnanonextpalmerpenguinsparadoxparallellyPRROCR6rlangstabmuuid

Feature Samplers

Rendered fromfeature-samplers.Rmdusingknitr::rmarkdownon Jun 11 2026.

Last update: 2026-02-26
Started: 2025-10-27

Getting Started with xplainfi

Rendered fromxplainfi.Rmdusingknitr::rmarkdownon Jun 11 2026.

Last update: 2026-02-26
Started: 2024-10-14

Simulation Settings for Feature Importance Methods

Rendered fromsimulation-settings.Rmdusingknitr::rmarkdownon Jun 11 2026.

Last update: 2026-01-29
Started: 2025-10-09