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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: 0.2.0
Depends: R (≥ 4.1.0)
Imports: collapse, ggplot2, grDevices, patchwork, plotly, Rcpp, stats
LinkingTo: Rcpp
Suggests: testthat (≥ 3.0.0)
Enhances: h2o
Published: 2024-12-11
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:

Reference manual: effectplots.pdf

Downloads:

Package source: effectplots_0.2.0.tar.gz
Windows binaries: r-devel: effectplots_0.2.0.zip, r-release: effectplots_0.1.0.zip, r-oldrel: effectplots_0.2.0.zip
macOS binaries: r-release (arm64): effectplots_0.2.0.tgz, r-oldrel (arm64): effectplots_0.2.0.tgz, r-release (x86_64): effectplots_0.2.0.tgz, r-oldrel (x86_64): effectplots_0.2.0.tgz
Old sources: effectplots archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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