Model-Agnostic Response Curves for Fitted Models R package curves version 0.4.0 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/>. Software 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) Roozbeh Valavi <valavi.r@gmail.com> Comprehensive R Archive Network (CRAN) Roozbeh Valavi [aut, cre] (ORCID: <https://orcid.org/0000-0003-2495-5277>) GPL-3 2026-05-11 application/tgz https://CRAN.R-project.org/package=curves doi:10.32614/CRAN.package.curves