DESCRIPTION

Package: mlr3filters
Title: Filter Based Feature Selection for 'mlr3'
Version: 0.8.0.9000
Authors@R: c(
    person("Patrick", "Schratz", , "patrick.schratz@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0003-0748-6624")),
    person("Michel", "Lang", , "michellang@gmail.com", role = c("cre", "aut"),
           comment = c(ORCID = "0000-0001-9754-0393")),
    person("Bernd", "Bischl", , "bernd_bischl@gmx.net", role = "aut",
           comment = c(ORCID = "0000-0001-6002-6980")),
    person("Martin", "Binder", , "mlr.developer@mb706.com", role = "aut"),
    person("John", "Zobolas", , "bblodfon@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0002-3609-8674"))
  )
Description: Extends 'mlr3' with filter methods for feature selection.
    Besides standalone filter methods built-in methods of any
    machine-learning algorithm are supported.  Partial scoring of
    multivariate filter methods is supported.
License: LGPL-3
URL: https://mlr3filters.mlr-org.com,
    https://github.com/mlr-org/mlr3filters
BugReports: https://github.com/mlr-org/mlr3filters/issues
Depends:
    R (>= 3.1.0)
Imports:
    backports,
    checkmate,
    data.table,
    mlr3 (>= 0.12.0),
    mlr3misc,
    paradox,
    R6
Suggests:
    Boruta,
    care,
    caret,
    carSurv,
    FSelectorRcpp,
    knitr,
    lgr,
    mlr3learners,
    mlr3measures,
    mlr3pipelines,
    praznik,
    rpart,
    survival,
    testthat (>= 3.0.0),
    withr
Config/testthat/edition: 3
Encoding: UTF-8
NeedsCompilation: no
Roxygen: list(markdown = TRUE, r6 = TRUE)
RoxygenNote: 7.3.2
Collate:
    'Filter.R'
    'mlr_filters.R'
    'FilterAUC.R'
    'FilterAnova.R'
    'FilterBoruta.R'
    'FilterCMIM.R'
    'FilterCarScore.R'
    'FilterCarSurvScore.R'
    'FilterCorrelation.R'
    'FilterDISR.R'
    'FilterFindCorrelation.R'
    'FilterLearner.R'
    'FilterImportance.R'
    'FilterInformationGain.R'
    'FilterJMI.R'
    'FilterJMIM.R'
    'FilterKruskalTest.R'
    'FilterMIM.R'
    'FilterMRMR.R'
    'FilterNJMIM.R'
    'FilterPerformance.R'
    'FilterPermutation.R'
    'FilterRelief.R'
    'FilterSelectedFeatures.R'
    'FilterUnivariateCox.R'
    'FilterVariance.R'
    'bibentries.R'
    'flt.R'
    'helper.R'
    'reexports.R'
    'zzz.R'