DESCRIPTION

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
Roxygen: list(markdown = TRUE, r6 = TRUE)
Config/testthat/edition: 3