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:	2024-09-30
DOI:	10.32614/CRAN.package.explainer
Author:	Ramtin Zargari Marandi [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.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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