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explainer

Machine Learning Model Explainer

v1.0.2 · Sep 30, 2024 · MIT + file LICENSE

Description

It enables detailed interpretation of complex classification and regression models through Shapley analysis including data-driven characterization of subgroups of individuals. Furthermore, it facilitates multi-measure model evaluation, model fairness, and decision curve analysis. Additionally, it offers enhanced visualizations with interactive elements.

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CRAN Check Status

2 NOTE
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang NOTE
r-devel-linux-x86_64-fedora-gcc NOTE
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
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
Check details (2 non-OK)
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespace in Imports field not imported from: ‘ggpmisc’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘ggpmisc’
  All declared Imports should be used.

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespace in Imports field not imported from: ‘ggpmisc’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘ggpmisc’
  All declared Imports should be used.

Dependency Network

Dependencies Reverse dependencies cvms data.table dplyr egg ggplot2 ggpmisc ggpubr magrittr plotly tibble tidyr writexl gridExtra scales explainer

Version History

new 1.0.2 Mar 10, 2026
updated 1.0.2 ← 1.0.1 diff Sep 29, 2024
updated 1.0.1 ← 1.0.0 diff Apr 17, 2024
new 1.0.0 Dec 14, 2023