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Modular and unified R6-based interface for counterfactual explanation methods. The following methods are currently implemented: Burghmans et al. (2022) <doi:10.48550/arXiv.2104.07411>, Dandl et al. (2020) <doi:10.1007/978-3-030-58112-1_31> and Wexler et al. (2019) <doi:10.1109/TVCG.2019.2934619>. Optional extensions allow these methods to be applied to a variety of models and use cases. Once generated, the counterfactuals can be analyzed and visualized by provided functionalities.
Version: | 0.1.4 |
Depends: | R (≥ 3.5.0) |
Imports: | R6, checkmate, StatMatch, iml, data.table, paradox, miesmuschel, bbotk |
Suggests: | gower, randomForest, GGally, trtf, testthat, MASS, R.rsp, cowplot, covr, ggplot2, keras, rchallenge, gamlss.data, partykit, mlt, variables, basefun, rmarkdown, rpart, mlr3, mlr3learners, mlr3pipelines, tidymodels, caret, mlr |
Published: | 2024-05-14 |
DOI: | 10.32614/CRAN.package.counterfactuals |
Author: | Susanne Dandl |
Maintainer: | Susanne Dandl <dandls.datascience at gmail.com> |
BugReports: | https://github.com/dandls/counterfactuals/issues |
License: | LGPL-3 |
URL: | https://github.com/dandls/counterfactuals |
NeedsCompilation: | no |
Citation: | counterfactuals citation info |
Materials: | README NEWS |
CRAN checks: | counterfactuals results |
Reference manual: | counterfactuals.pdf |
Vignettes: |
How to extend the package counterfactuals R package Other types of models |
Package source: | counterfactuals_0.1.4.tar.gz |
Windows binaries: | r-devel: counterfactuals_0.1.4.zip, r-release: counterfactuals_0.1.4.zip, r-oldrel: counterfactuals_0.1.4.zip |
macOS binaries: | r-release (arm64): counterfactuals_0.1.4.tgz, r-oldrel (arm64): counterfactuals_0.1.4.tgz, r-release (x86_64): counterfactuals_0.1.4.tgz, r-oldrel (x86_64): counterfactuals_0.1.4.tgz |
Old sources: | counterfactuals archive |
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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.