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:
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-4.4-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
- bikes - Regression data of the usage of rental bikes in Washington D.C., USA
Last updated 19 days agofrom:12331c401b. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 05 2024 |
| R-4.5-win | OK | Nov 05 2024 |
| R-4.5-linux | OK | Nov 05 2024 |
| R-4.4-win | OK | Nov 05 2024 |
| R-4.4-mac | OK | Nov 05 2024 |
| R-4.3-win | OK | Nov 05 2024 |
| R-4.3-mac | OK | Nov 05 2024 |
Exports:ameAverageMarginalEffectscamefmeForwardMarginalEffectmakePredictorPartitioningPartitioningCtreePartitioningRpartPredictorPredictorCaretPredictorLMPredictorMLR3PredictorParsnip
Dependencies:backportsbriocallrcheckmateclicolorspacecowplotcrayondata.tabledescdiffobjdigestevaluatefansifarverFormulafsggpartyggplot2gluegtableinumisobandjsonlitelabelinglatticelibcoinlifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepartykitpillarpkgbuildpkgconfigpkgloadpraiseprocessxpsR6RColorBrewerrlangrpartrprojrootscalessurvivaltestthattibbleutf8vctrsviridisLitewaldowithr
