Package: counterfactuals
Type: Package
Title: Counterfactual Explanations
Version: 0.1.6
Authors@R: c(
        person("Susanne", "Dandl", email = "dandls.datascience@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-4324-4163")),
        person("Andreas", "Hofheinz", email = "andreas.hofheinz@outlook.com", role = c("aut")),
	person("Martin", "Binder", email = "developer.mb706@mb706.com", role = c("ctb")),
	person("Giuseppe","Casalicchio", email = "giuseppe.casalicchio@stat.uni-muenchen.de", role = c("ctb"))
    )
Maintainer: Susanne Dandl <dandls.datascience@gmail.com>
Description: 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.
URL: https://github.com/dandls/counterfactuals
BugReports: https://github.com/dandls/counterfactuals/issues
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
License: LGPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
VignetteBuilder: R.rsp
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2024-10-17 09:43:03 UTC; sdandl
Author: Susanne Dandl [aut, cre] (<https://orcid.org/0000-0003-4324-4163>),
  Andreas Hofheinz [aut],
  Martin Binder [ctb],
  Giuseppe Casalicchio [ctb]
Repository: CRAN
Date/Publication: 2024-10-17 12:00:06 UTC
Built: R 4.5.2; ; 2025-12-30 03:35:53 UTC; windows
