DESCRIPTION

Package: HOOVS
Title: Variable Selection for Ordinal Outcomes
Version: 0.0.0.9000
Authors@R: 
    person("Benjamin", "Bodek", , "bbodek@unc.edu", role = c("aut", "cre"))
    person("Brian", "Chen", , "brichen@live.unc.edu", role = c("aut", "cre"))
    person("Forrest", "Hurley", , "fehurley@unc.edu", role = c("aut", "cre"))
    person("Emmanuel", "Rockwell", , "erockwell@unc.edu", role = c("aut", "cre"))
    person("Brian", "Richardson", , "brichson@ad.unc.edu", role = c("aut", "cre"))
Description: This package contains two methods for doing variable selection with an ordinal outcome. The first method is a LASSO-penalized proportional odds regression model. The second is a random forest machine learning algorithm.
License: `use_mit_license()`, `use_gpl3_license()` or friends to pick a
    license
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Suggests: 
    testthat (>= 3.0.0)
Config/testthat/edition: 3