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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=explainer to link to this page.
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