Package: rfvimptest
Type: Package
Title: Sequential Permutation Testing of Random Forest Variable
        Importance Measures
Version: 0.1.3
Date: 2023-01-25
Authors@R: c(person("Alexander", "Hapfelmeier", role = c("aut"),
                      email = "Alexander.Hapfelmeier@mri.tum.de"),
             person("Roman", "Hornung", role = c("aut", "cre"), 
                      email = "hornung@ibe.med.uni-muenchen.de"))
Description: Sequential permutation testing for statistical
  significance of predictors in random forests. The main function
  of the package is rfvimptest(), which allows to test for the
  statistical significance of predictors in random forests using different 
  (sequential) permutation test strategies. The advantage of
  sequential over conventional permutation tests is that they
  are computationally considerably less intensive, as the sequential
  procedure is stopped as soon as there is sufficient evidence
  for either the null or the alternative hypothesis.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: party, ranger, permimp
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2023-01-25 14:47:23 UTC; hornung
Author: Alexander Hapfelmeier [aut],
  Roman Hornung [aut, cre]
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>
Repository: CRAN
Date/Publication: 2023-01-25 15:00:02 UTC
Built: R 4.2.0; ; 2023-07-11 03:02:28 UTC; unix
