Counterfactual Explanations R package counterfactuals version 1.0.0 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. The package is described in detail in Dandl et al. (2025) <doi:10.18637/jss.v115.i09>. Software 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 Susanne Dandl <dandls.datascience@gmail.com> Comprehensive R Archive Network (CRAN) Susanne Dandl [aut, cre] (ORCID: <https://orcid.org/0000-0003-4324-4163>), Andreas Hofheinz [aut], Martin Binder [ctb], Giuseppe Casalicchio [ctb] LGPL-3 2026-01-14 application/tgz https://CRAN.R-project.org/package=counterfactuals doi:10.32614/CRAN.package.counterfactuals