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xplaineff  

Decomposing Global Feature Effects Based on Feature Interactions
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Download and install xplaineff package within the R console
Install from CRAN:
install.packages("xplaineff")

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

Install by package version:
library("remotes")
install_version("xplaineff", "0.1.0")



Attach the package and use:
library("xplaineff")
Maintained by
Zizheng Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-14
Latest Update: 2026-09-14
Description:
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>.
How to cite:
Zizheng Zhang (2026). xplaineff: Decomposing Global Feature Effects Based on Feature Interactions. R package version 0.1.0, https://cran.r-project.org/web/packages/xplaineff. Accessed 29 Sep. 2026.
Previous versions and publish date:
(2026-09-29 13:30), 0.1.0 (2026-09-14 17:00)
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