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High-performance implementation of various effect plots useful for regression and probabilistic classification tasks. The package includes partial dependence plots (Friedman, 2021, <doi:10.1214/aos/1013203451>), accumulated local effect plots and M-plots (both from Apley and Zhu, 2016, <doi:10.1111/rssb.12377>), as well as plots that describe the statistical associations between model response and features. It supports visualizations with either 'ggplot2' or 'plotly', and is compatible with most models, including 'Tidymodels', models wrapped in 'DALEX' explainers, or models with case weights.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | collapse, ggplot2, grDevices, patchwork, plotly, Rcpp, stats |
| LinkingTo: | Rcpp |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2024-11-18 |
| DOI: | 10.32614/CRAN.package.effectplots |
| Author: | Michael Mayer [aut, cre] |
| Maintainer: | Michael Mayer <mayermichael79 at gmail.com> |
| BugReports: | https://github.com/mayer79/effectplots/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/mayer79/effectplots |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | effectplots results |
| Reference manual: | effectplots.pdf |
| Package source: | effectplots_0.1.0.tar.gz |
| Windows binaries: | r-devel: effectplots_0.1.0.zip, r-release: effectplots_0.1.0.zip, r-oldrel: effectplots_0.1.0.zip |
| macOS binaries: | r-release (arm64): effectplots_0.1.0.tgz, r-oldrel (arm64): effectplots_0.1.0.tgz, r-release (x86_64): effectplots_0.1.0.tgz, r-oldrel (x86_64): effectplots_0.1.0.tgz |
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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.