xplaineff: Decomposing Global Feature Effects Based on Feature Interactions
Implements the GADGET (Generalized Additive Decomposition of Global
EffecTs) algorithm for interpretable machine learning. The package
recursively partitions the feature space to minimize heterogeneity of
feature effects (e.g., Accumulated Local Effects or Partial Dependence),
producing a tree of regions where effects are more stable. It supports
both ALE and PD strategies, works with 'mlr3' learners and provides visualization of the interaction
tree and regional effect plots. The method is described in Herbinger, J.,
Wright, M. N., Nagler, T., Bischl, B., and Casalicchio, G. (2024),
"Decomposing Global Feature Effects Based on Feature Interactions"
<https://jmlr.org/papers/volume25/23-0699/23-0699.pdf>.
| Version: |
0.1.1 |
| Depends: |
R (≥ 4.3.0) |
| Imports: |
checkmate (≥ 2.3.2), cli (≥ 3.0.0), data.table (≥ 1.14.0), ggplot2 (≥ 3.5.2), ggraph (≥ 2.2.1), igraph (≥ 2.1.4), mlr3misc (≥ 0.14.0), patchwork (≥ 1.3.0), R6 (≥ 2.6.1), Rcpp (≥ 1.0.0) |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown, iml (≥ 0.11.4), mlr3, mlr3learners, ranger, ISLR2, rpart, withr, xgboost |
| Published: |
2026-09-29 |
| DOI: |
10.32614/CRAN.package.xplaineff |
| Author: |
Zizheng Zhang 
[aut, cre],
Coco Bögel [aut],
Giuseppe Casalicchio
[aut],
Bernd Bischl
[aut] |
| Maintainer: |
Zizheng Zhang <Zizheng.Zhang at stat.uni-muenchen.de> |
| BugReports: |
https://github.com/mlr-org/xplaineff/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/mlr-org/xplaineff |
| NeedsCompilation: |
yes |
| Materials: |
README, NEWS |
| CRAN checks: |
xplaineff results |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.