Package: fmeffects
Title: Model-Agnostic Interpretations with Forward Marginal Effects
Version: 0.1.1
Authors@R: c(
    person("Holger", "Löwe", , "hbj.loewe@gmail.com", role = c("cre", "aut")),
    person("Christian", "Scholbeck", , "christian.scholbeck@stat.uni-muenchen.de", role = "aut"),
    person("Christian", "Heumann", , "christian.heumann@stat.uni-muenchen.de", role = "rev"),
    person("Bernd", "Bischl", , "bernd.bischl@stat.uni-muenchen.de", role = "rev"),
    person("Giuseppe", "Casalicchio", , "giuseppe.casalicchio@stat.uni-muenchen.de", role = "rev")
  )
Description: Create local, regional, and global explanations for any machine learning model with forward marginal effects. You provide a model and data, and 'fmeffects' computes feature effects. The package is based on the theory in: C. A. Scholbeck, G. Casalicchio, C. Molnar, B. Bischl, and C. Heumann (2022) <arXiv:2201.08837>.
License: LGPL-3
Encoding: UTF-8
RoxygenNote: 7.2.3
Suggests: caret, knitr, mlr3verse, ranger, rmarkdown, rpart
Imports: checkmate, data.table, partykit, ggparty, ggplot2, cowplot,
        R6, testthat
Collate: 'ExtrapolationDetector.R' 'FME.R' 'FMEPlot.R'
        'NonLinearityMeasure.R' 'Partitioning.R' 'PartitioningCtree.R'
        'PartitioningPlot.R' 'PartitioningRpart.R' 'Predictor.R'
        'PredictorCaret.R' 'PredictorMLR3.R' 'PredictorParsnip.R'
        'Pruner.R' 'S3.R' 'ame.R' 'bikes.R' 'misc.R' 'zzz.R'
URL: https://github.com/holgstr/fmeffects
BugReports: https://github.com/holgstr/fmeffects/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-09-26 14:48:55 UTC; christian
Author: Holger Löwe [cre, aut],
  Christian Scholbeck [aut],
  Christian Heumann [rev],
  Bernd Bischl [rev],
  Giuseppe Casalicchio [rev]
Maintainer: Holger Löwe <hbj.loewe@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-09-26 15:10:02 UTC
Built: R 4.3.1; ; 2023-11-05 14:16:58 UTC; unix
