effectplots: Effect Plots
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: |
0.2.2 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
collapse, ggplot2, grDevices, labeling, patchwork, plotly, Rcpp, scales, stats |
| LinkingTo: |
Rcpp |
| Suggests: |
testthat (≥ 3.0.0) |
| Enhances: |
h2o |
| Published: |
2025-03-09 |
| 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 |
Documentation:
Downloads:
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