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counterfactuals: Counterfactual Explanations

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:0.1.6
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:2024-10-17
DOI:10.32614/CRAN.package.counterfactuals
Author:Susanne DandlORCID iD [aut, cre], Andreas Hofheinz [aut], Martin Binder [ctb], Giuseppe Casalicchio [ctb]
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

Documentation:

Reference manual:counterfactuals.html ,counterfactuals.pdf
Vignettes:How to extend the package (source)
counterfactuals R package (source)
Other types of models (source)

Downloads:

Package source: counterfactuals_0.1.6.tar.gz
Windows binaries: r-devel:counterfactuals_0.1.6.zip, r-release:counterfactuals_0.1.6.zip, r-oldrel:counterfactuals_0.1.6.zip
macOS binaries: r-release (arm64):counterfactuals_0.1.6.tgz, r-oldrel (arm64):counterfactuals_0.1.6.tgz, r-release (x86_64):counterfactuals_0.1.6.tgz, r-oldrel (x86_64):counterfactuals_0.1.6.tgz
Old sources: counterfactuals archive

Linking:

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