Fast, model-agnostic implementation of different H-statistics introduced by Jerome H. Friedman and Bogdan E. Popescu (2008) <doi:10.1214/07-AOAS148>. These statistics quantify interaction strength per feature, feature pair, and feature triple. The package supports multi-output predictions and can account for case weights. In addition, several variants of the original statistics are provided. The shape of the interactions can be explored through partial dependence plots or individual conditional expectation plots. 'DALEX' explainers, meta learners ('mlr3', 'tidymodels', 'caret') and most other models work out-of-the-box.
| Version: | 1.2.2 |
| Depends: | R (≥ 3.2.0) |
| Imports: | ggplot2, stats, utils |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-10-13 |
| DOI: | 10.32614/CRAN.package.hstats |
| Author: | Michael Mayer |
| Maintainer: | Michael Mayer <mayermichael79 at gmail.com> |
| BugReports: | https://github.com/ModelOriented/hstats/issues/ |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/ModelOriented/hstats/, https://modeloriented.github.io/hstats/ |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | hstats results |
| Reference manual: | hstats.html , hstats.pdf |
| Package source: | hstats_1.2.2.tar.gz |
| Windows binaries: | r-devel: hstats_1.2.2.zip, r-release: hstats_1.2.2.zip, r-oldrel: hstats_1.2.2.zip |
| macOS binaries: | r-release (arm64): hstats_1.2.2.tgz, r-oldrel (arm64): hstats_1.2.2.tgz, r-release (x86_64): hstats_1.2.2.tgz, r-oldrel (x86_64): hstats_1.2.2.tgz |
| Old sources: | hstats archive |
| Reverse imports: | mrIML |
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