Package: curves 0.4.0

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/>.

Authors:Roozbeh Valavi [aut, cre]

curves_0.4.0.tar.gz
curves_0.4.0.zip(r-4.7)curves_0.4.0.zip(r-4.6)curves_0.4.0.zip(r-4.5)
curves_0.4.0.tgz(r-4.6-any)curves_0.4.0.tgz(r-4.5-any)
curves_0.4.0.tar.gz(r-4.7-any)curves_0.4.0.tar.gz(r-4.6-any)
curves_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
curves/json (API)
NEWS

# Install 'curves' in R:
install.packages('curves', repos = c('https://rvalavi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rvalavi/curves/issues

On CRAN:

Conda:

partial-dependence-plotspdpresponse-curvesspatial-modellingspecies-distribution-modelling

4.88 score 3 stars 31 downloads 5 exports 18 dependencies

Last updated from:0989d21f70. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK187
source / vignettesOK218
linux-release-x86_64OK211
macos-release-arm64OK108
macos-oldrel-arm64OK126
windows-develOK120
windows-releaseOK112
windows-oldrelOK110
wasm-releaseOK118

Exports:bivariateinteractionsmapcurvemultimodelunivariate

Dependencies:clicowplotcpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr

Species Distribution Response Curves

Rendered fromrandom-forest-species-distribution.Rmdusingknitr::rmarkdownon May 15 2026.

Last update: 2026-05-01
Started: 2026-04-16