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:

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