fmeffects
0.1.4Model-Agnostic Interpretations with Forward Marginal Effects
Overview
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.
Install
Health
- ERROR r-release-macos-arm64
- ERROR r-release-macos-x86_64
- ERROR2026-03-1013 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 21%
- References docs
- 17%
Downloads
Repository
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Repository practices
4 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/holgstr/fmeffects on 2026-08-09.
Dependencies
Code & Tests
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2023-07-19
- Total releases
- 5 / 3 yrs
- License
- LGPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 14 KB / 1 file
- Download size
- 2.4 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("fmeffects")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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