curves: Model-Agnostic Response Curves for Fitted Models
Create model-agnostic response-curve diagnostics for fitted
prediction models. Supports profile curves, partial dependence,
individual conditional expectation, and accumulated local effects;
univariate curves, bivariate surfaces, ensemble summaries across
multiple models, ALE-based interaction ranking, and optional
raster-linked exploration with 'terra' and 'shiny'. Static displays
are returned as 'ggplot2' plots. For more details on the methods see
Molnar (2025) <https://christophm.github.io/interpretable-ml-book/>.
| Version: |
0.4.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
cowplot, ggplot2 (≥ 3.3.6) |
| Suggests: |
disdat, knitr, mgcv, plotly, randomForest, rmarkdown, shiny, terra (≥ 1.6-41), testthat (≥ 3.0.0) |
| Published: |
2026-05-11 |
| DOI: |
10.32614/CRAN.package.curves |
| Author: |
Roozbeh Valavi 
[aut, cre] |
| Maintainer: |
Roozbeh Valavi <valavi.r at gmail.com> |
| BugReports: |
https://github.com/rvalavi/curves/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/rvalavi/curves |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
curves results |
Documentation:
Downloads:
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