Package: themis
Title: Extra Recipes Steps for Dealing with Unbalanced Data
Version: 0.1.4
Authors@R: 
    person(given = "Emil",
           family = "Hvitfeldt",
           role = c("aut", "cre"),
           email = "emilhhvitfeldt@gmail.com",
           comment = c(ORCID = "0000-0002-0679-1945"))
Description: A dataset with an uneven number of cases in each
    class is said to be unbalanced. Many models produce a subpar
    performance on unbalanced datasets. A dataset can be balanced by
    increasing the number of minority cases using SMOTE 2011
    <arXiv:1106.1813>, BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and
    ADASYN 2008 <https://ieeexplore.ieee.org/document/4633969>. Or by
    decreasing the number of majority cases using NearMiss 2003
    <https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek
    link removal 1976 <https://ieeexplore.ieee.org/document/4309452>.
License: MIT + file LICENSE
URL: https://github.com/tidymodels/themis,
        https://themis.tidymodels.org
BugReports: https://github.com/tidymodels/themis/issues
Depends: R (>= 2.10), recipes (>= 0.1.15)
Imports: dplyr, generics (>= 0.1.0), purrr, RANN, rlang, ROSE, tibble,
        unbalanced, withr
Suggests: covr, ggplot2, modeldata, testthat (>= 2.1.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1.9001
NeedsCompilation: no
Packaged: 2021-06-12 20:59:07 UTC; emilhvitfeldthansen
Author: Emil Hvitfeldt [aut, cre] (<https://orcid.org/0000-0002-0679-1945>)
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-12 21:20:02 UTC
Built: R 4.1.1; ; 'Mon, 11 Oct 2021 16:24:06 +0200'; unix
