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Feature Importance Methods for Global Explanations
v1.1.0
·
Feb 26, 2026
·
LGPL (>= 3)
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.
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| r-devel-linux-x86_64-debian-gcc | OK |
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| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
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NOTE 13 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 27, 2026
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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 24, 2026
NOTE 13 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
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Running ‘testthat.R’ [338s/120s] Running R code in ‘testthat.R’ had CPU time 2.8 times elapsed time