Package: fmeffects 0.1.4

fmeffects: Model-Agnostic Interpretations with Forward Marginal Effects

Create local, regional, and global explanations for any machine learning model with forward marginal effects. You provide a model and data, and 'fmeffects' computes feature effects. The package is based on the theory in: C. A. Scholbeck, G. Casalicchio, C. Molnar, B. Bischl, and C. Heumann (2022) <doi:10.48550/arXiv.2201.08837>.

Authors:Holger Löwe [cre, aut], Christian Scholbeck [aut], Christian Heumann [rev], Bernd Bischl [rev], Giuseppe Casalicchio [rev]

fmeffects_0.1.4.tar.gz
fmeffects_0.1.4.zip(r-4.5)fmeffects_0.1.4.zip(r-4.4)fmeffects_0.1.4.zip(r-4.3)
fmeffects_0.1.4.tgz(r-4.5-any)fmeffects_0.1.4.tgz(r-4.4-any)fmeffects_0.1.4.tgz(r-4.3-any)
fmeffects_0.1.4.tar.gz(r-4.5-noble)fmeffects_0.1.4.tar.gz(r-4.4-noble)
fmeffects_0.1.4.tgz(r-4.4-emscripten)fmeffects_0.1.4.tgz(r-4.3-emscripten)
fmeffects.pdf |fmeffects.html✨
fmeffects/json (API)
NEWS

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

Bug tracker:https://github.com/holgstr/fmeffects/issues

Pkgdown site:https://holgstr.github.io

Datasets:
  • bikes - Regression data of the usage of rental bikes in Washington D.C., USA

On CRAN:

Conda:

5.73 score 2 stars 6 scripts 1.5k downloads 14 exports 57 dependencies

Last updated 4 months agofrom:12331c401b. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-winOKMar 05 2025
R-4.5-macOKMar 05 2025
R-4.5-linuxOKMar 05 2025
R-4.4-winOKMar 05 2025
R-4.4-macOKMar 05 2025
R-4.4-linuxOKMar 05 2025
R-4.3-winOKMar 05 2025
R-4.3-macOKMar 05 2025

Exports:ameAverageMarginalEffectscamefmeForwardMarginalEffectmakePredictorPartitioningPartitioningCtreePartitioningRpartPredictorPredictorCaretPredictorLMPredictorMLR3PredictorParsnip

Dependencies:backportsbriocallrcheckmateclicolorspacecowplotcrayondata.tabledescdiffobjdigestevaluatefansifarverFormulafsggpartyggplot2gluegtableinumisobandjsonlitelabelinglatticelibcoinlifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepartykitpillarpkgbuildpkgconfigpkgloadpraiseprocessxpsR6RColorBrewerrlangrpartrprojrootscalessurvivaltestthattibbleutf8vctrsviridisLitewaldowithr

Get started

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Last update: 2024-06-07
Started: 2023-09-19

Why FMEs?

Rendered fromfme_theory.Rmdusingknitr::rmarkdownon Mar 05 2025.

Last update: 2023-09-20
Started: 2022-11-23