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hstats: Interaction Statistics

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: 1.2.1
Depends: R (≥ 3.2.0)
Imports: ggplot2, stats, utils
Suggests: testthat (≥ 3.0.0)
Published: 2024-08-17
DOI: 10.32614/CRAN.package.hstats
Author: Michael Mayer ORCID iD [aut, cre], Przemyslaw Biecek ORCID iD [ctb]
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

Documentation:

Reference manual: hstats.pdf

Downloads:

Package source: hstats_1.2.1.tar.gz
Windows binaries: r-devel: hstats_1.2.1.zip, r-release: hstats_1.2.1.zip, r-oldrel: hstats_1.2.1.zip
macOS binaries: r-release (arm64): hstats_1.2.1.tgz, r-oldrel (arm64): hstats_1.2.1.tgz, r-release (x86_64): hstats_1.2.1.tgz, r-oldrel (x86_64): hstats_1.2.1.tgz
Old sources: hstats archive

Linking:

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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.
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