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:	0.1.2
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, rmarkdown, basefun, rpart, mlr3, mlr3learners, mlr3pipelines, tidymodels, caret, mlr
Published:	2023-03-23
Author:	Susanne Dandl [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.pdf
Vignettes:	How to extend the package counterfactuals R package Other types of models

Downloads:

Package source:	counterfactuals_0.1.2.tar.gz
Windows binaries:	r-devel: counterfactuals_0.1.2.zip, r-release: counterfactuals_0.1.2.zip, r-oldrel: counterfactuals_0.1.2.zip
macOS binaries:	r-release (arm64): counterfactuals_0.1.2.tgz, r-oldrel (arm64): counterfactuals_0.1.2.tgz, r-release (x86_64): counterfactuals_0.1.2.tgz, r-oldrel (x86_64): counterfactuals_0.1.2.tgz
Old sources:	counterfactuals archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=counterfactuals to link to this page.