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/>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4.0 |
rolling linux/jammy R-4.5 | curves_0.4.0.tar.gz |
5.5 MiB |
0.4.0 |
rolling linux/noble R-4.5 | curves_0.4.0.tar.gz |
5.5 MiB |
0.4.0 |
rolling source/ R- | curves_0.4.0.tar.gz |
5.4 MiB |
0.4.0 |
latest linux/jammy R-4.5 | curves_0.4.0.tar.gz |
5.5 MiB |
0.4.0 |
latest linux/noble R-4.5 | curves_0.4.0.tar.gz |
5.5 MiB |
0.4.0 |
latest source/ R- | curves_0.4.0.tar.gz |
5.4 MiB |
0.4.0 |
2026-04-23 source/ R- | curves_0.4.0.tar.gz |
0 B |