CRAN: Package explainer

explainer: Machine Learning Model Explainer

It enables detailed interpretation of complex classification and regression models through Shapley analysis including data-driven characterization of subgroups of individuals. Furthermore, it facilitates multi-measure model evaluation, model fairness, and decision curve analysis. Additionally, it offers enhanced visualizations with interactive elements.

Version: 1.0.2

Imports: cvms, data.table, dplyr, egg, ggplot2, ggpmisc, ggpubr, magrittr, plotly, tibble, tidyr, writexl, gridExtra, scales

Suggests: cowplot, mlr3, mlr3learners, knitr, broom, iml, forcats, mlr3viz, plotROC, psych, reshape2, remotes, mlbench, ranger, precrec, rmarkdown

Published: 2024年09月30日

DOI: 10.32614/CRAN.package.explainer

Author: Ramtin Zargari Marandi ORCID iD [aut, cre]

Maintainer: Ramtin Zargari Marandi <ramtin.zargari.marandi at regionh.dk>

BugReports: https://github.com/PERSIMUNE/explainer/issues

License: MIT + file LICENSE

URL: https://persimune.github.io/explainer/, https://github.com/PERSIMUNE/explainer

NeedsCompilation: no

Citation: explainer citation info

Materials: README

CRAN checks: explainer results

Documentation:

Reference manual: explainer.html , explainer.pdf

Vignettes: explainer-vignette (source, R code)

Downloads:

Package source: explainer_1.0.2.tar.gz

Windows binaries: r-devel: explainer_1.0.2.zip, r-release: explainer_1.0.2.zip, r-oldrel: explainer_1.0.2.zip

macOS binaries: r-release (arm64): explainer_1.0.2.tgz, r-oldrel (arm64): explainer_1.0.2.tgz, r-release (x86_64): explainer_1.0.2.tgz, r-oldrel (x86_64): explainer_1.0.2.tgz

Old sources: explainer archive

Linking:

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