Package: xplaineff
Type: Package
Title: Decomposing Global Feature Effects Based on Feature Interactions
Version: 0.1.1
Authors@R: c(
    person(
      "Zizheng", "Zhang",
      email = "Zizheng.Zhang@stat.uni-muenchen.de",
      role = c("aut", "cre"),
      comment = c(ORCID = "0009-0009-4252-8018")
    ),
    person(
      "Coco", "Bögel",
      role = "aut",
      comment = c(ORCID = "0009-0002-0683-4957")
    ),
    person(
      "Giuseppe", "Casalicchio",
      email = "giuseppe.casalicchio@stat.uni-muenchen.de",
      role = "aut",
      comment = c(ORCID = "0000-0001-5324-5966")
    ),
    person(
      "Bernd", "Bischl",
      role = "aut",
      comment = c(ORCID = "0000-0001-6002-6980")
    )
  )
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>.
License: MIT + file LICENSE
Depends: R (>= 4.3.0)
URL: https://github.com/mlr-org/xplaineff
BugReports: https://github.com/mlr-org/xplaineff/issues
Encoding: UTF-8
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
RoxygenNote: 7.3.2
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, iml (>= 0.11.4), mlr3,
        mlr3learners, ranger, ISLR2, rpart, withr, xgboost
Config/testthat/edition: 3
VignetteBuilder: knitr
Collate: 'EffectStrategy.R' 'AleStrategy.R' 'GadgetTree.R' 'Node.R'
        'PdStrategy.R' 'RcppExports.R' 'calculate_ale.R'
        'calculate_ale_fast.R' 'calculate_ale_heterogeneity.R'
        'calculate_pd.R' 'categorical_split_utils.R'
        'choose_operator.R' 'convert_tree_to_list.R'
        'extract_split_info.R' 'factor_to_numeric.R'
        'find_node_by_id.R' 'mean_center_ice.R' 'node_heterogeneity.R'
        'node_transform_ale.R' 'order_categorical_levels.R'
        'plot_regional_ale.R' 'plot_regional_pd.R' 'plot_tree_ale.R'
        'plot_tree_pd.R' 'plot_tree_structure.R' 'plot_utils.R'
        'prepare_layout_data.R' 'prepare_plot_data_ale.R'
        'prepare_split_data_ale.R' 'prepare_split_data_pd.R'
        'prepare_split_data_utils.R' 'search_best_split_ale.R'
        'search_best_split_point_ale.R' 'track_split_condition.R'
        'xplaineff_internal.R' 'xplaineff_package.R'
NeedsCompilation: yes
Packaged: 2026-10-29 12:40:33 UTC; root
Author: Zizheng Zhang [aut, cre] (ORCID:
        <https://orcid.org/0009-0009-4252-8018>), Coco Bögel [aut]
        (ORCID: <https://orcid.org/0009-0002-0683-4957>), Giuseppe
        Casalicchio [aut] (ORCID:
        <https://orcid.org/0000-0001-5324-5966>), Bernd Bischl [aut]
        (ORCID: <https://orcid.org/0000-0001-6002-6980>)
Maintainer: Zizheng Zhang <Zizheng.Zhang@stat.uni-muenchen.de>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-09-29 11:30:02 UTC
RemoteUrl: https://github.com/cran/xplaineff
RemoteRef: HEAD
RemoteSha: 6958470630ec130ca8264cb25689e2433d5b4270