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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: | 1.0.1 |
Imports: | cvms, data.table, dplyr, egg, ggplot2, ggpmisc, ggpubr, magrittr, plotly, tibble, tidyr, writexl |
Suggests: | cowplot, mlr3, mlr3learners, knitr, broom, iml, forcats, mlr3viz, plotROC, psych, reshape2, remotes, mlbench, ranger, precrec |
Published: | 2024-04-18 |
DOI: | 10.32614/CRAN.package.explainer |
Author: | Ramtin Zargari Marandi
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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 |
Reference manual: | explainer.pdf |
Package source: | explainer_1.0.1.tar.gz |
Windows binaries: | r-devel: explainer_1.0.1.zip, r-release: explainer_1.0.1.zip, r-oldrel: explainer_1.0.1.zip |
macOS binaries: | r-release (arm64): explainer_1.0.1.tgz, r-oldrel (arm64): explainer_1.0.1.tgz, r-release (x86_64): explainer_1.0.1.tgz, r-oldrel (x86_64): explainer_1.0.1.tgz |
Old sources: | explainer archive |
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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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