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xplainfi  

Feature Importance Methods for Global Explanations
View on CRAN: Click here


Download and install xplainfi package within the R console
Install from CRAN:
install.packages("xplainfi")

Install from Github:
library("remotes")
install_github("cran/xplainfi")

Install by package version:
library("remotes")
install_version("xplainfi", "1.2.0")



Attach the package and use:
library("xplainfi")
Maintained by
Lukas Burk
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-30
Latest Update: 2026-01-30
Description:
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.
How to cite:
Lukas Burk (2026). xplainfi: Feature Importance Methods for Global Explanations. R package version 1.2.0, https://cran.r-project.org/web/packages/xplainfi. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-24 19:30), 1.0.0 (2026-01-30 12:00), 1.1.0 (2026-02-26 20:40)
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Complete documentation for xplainfi
Functions, R codes and Examples using the xplainfi R package
Full xplainfi package functions and examples
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