Package: dsos
Title: Dataset Shift with Outlier Scores
Version: 0.1.2
Authors@R: c(
    person("Vathy M.", "Kamulete", , "vathymut@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-4451-3743")),
    person(, "Royal Bank of Canada (RBC)", role = "cph",
           comment = "Research supported and funded by RBC")
  )
Description: Test for no adverse shift in two-sample comparison when we
    have a training set, the reference distribution, and a test set. The
    approach is flexible and relies on a robust and powerful test
    statistic, the weighted AUC. Technical details are in Kamulete, V. M.
    (2021) <arXiv:1908.04000>. Modern notions of outlyingness such as
    trust scores and prediction uncertainty can be used as the underlying
    scores for example.
License: GPL (>= 3)
URL: https://github.com/vathymut/dsos
BugReports: https://github.com/vathymut/dsos/issues
Imports: data.table (>= 1.14.6), future.apply (>= 1.10.0), ggplot2 (>=
        3.4.0), scales (>= 1.2.1), simctest (>= 2.6), stats (>= 4.2.1)
Suggests: fdrtool (>= 1.2.17), knitr (>= 1.42), rmarkdown (>= 2.20),
        testthat (>= 3.1.6)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-02-19 04:23:47 UTC; vathy
Author: Vathy M. Kamulete [aut, cre] (<https://orcid.org/0000-0002-4451-3743>),
  Royal Bank of Canada (RBC) [cph] (Research supported and funded by RBC)
Maintainer: Vathy M. Kamulete <vathymut@gmail.com>
Repository: CRAN
Date/Publication: 2023-02-19 07:30:06 UTC
Built: R 4.5.1; ; 2025-10-06 02:18:31 UTC; windows
