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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>.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: checkmate, data.table, partykit, ggparty, ggplot2, cowplot, R6, testthat
Suggests: caret, knitr, mlr3verse, ranger, rmarkdown, rpart
Published: 2024-03-07
Author: Holger Löwe [cre, aut], Christian Scholbeck [aut], Christian Heumann [rev], Bernd Bischl [rev], Giuseppe Casalicchio [rev]
Maintainer: Holger Löwe <hbj.loewe at gmail.com>
BugReports: https://github.com/holgstr/fmeffects/issues
License: LGPL-3
URL: https://holgstr.github.io/fmeffects/, https://github.com/holgstr/fmeffects
NeedsCompilation: no
Materials: README NEWS
CRAN checks: fmeffects results

Documentation:

Reference manual: fmeffects.pdf
Vignettes: Why FMEs?
Get started

Downloads:

Package source: fmeffects_0.1.2.tar.gz
Windows binaries: r-devel: fmeffects_0.1.2.zip, r-release: fmeffects_0.1.2.zip, r-oldrel: fmeffects_0.1.2.zip
macOS binaries: r-release (arm64): fmeffects_0.1.2.tgz, r-oldrel (arm64): fmeffects_0.1.2.tgz, r-release (x86_64): fmeffects_0.1.2.tgz, r-oldrel (x86_64): fmeffects_0.1.2.tgz
Old sources: fmeffects archive

Reverse dependencies:

Reverse suggests: marginaleffects

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fmeffects to link to this page.

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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