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) <arXiv:2201.08837>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | checkmate, data.table, partykit, ggparty, ggplot2, cowplot, R6, testthat |
| Suggests: | caret, knitr, mlr3verse, ranger, rmarkdown, rpart |
| Published: | 2023-07-19 |
| 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/fme/issues |
| License: | LGPL-3 |
| URL: | https://github.com/holgstr/fme |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | fmeffects results |
| Reference manual: | fmeffects.pdf |
| Vignettes: |
Get started Why FMEs? |
| Package source: | fmeffects_0.1.0.tar.gz |
| Windows binaries: | r-devel: fmeffects_0.1.0.zip, r-release: fmeffects_0.1.0.zip, r-oldrel: fmeffects_0.1.0.zip |
| macOS binaries: | r-release (arm64): fmeffects_0.1.0.tgz, r-oldrel (arm64): fmeffects_0.1.0.tgz, r-release (x86_64): fmeffects_0.1.0.tgz, r-oldrel (x86_64): fmeffects_0.1.0.tgz |
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