Package: SHRED
Type: Package
Title: Setwise Hierarchical Rate of Erroneous Discovery
Version: 1.0.0
Authors@R: c(person(given = "Sarah",
                      family = "Organ",
                      role = "aut"),
               person(given = "Toby",
                      family = "Kenney",
                      role = "cre",
                      email = "tkenney@mathstat.dal.ca"),
		      person(given = "Hong",
                      family = "Gu",
                      role = "aut",
                      email = "hgu@dal.ca"))
Maintainer: Toby Kenney <tkenney@mathstat.dal.ca>
Description: Setwise Hierarchical Rate of Erroneous Discovery (SHRED)
        methods for setwise variable selection with false discovery
        rate (FDR) control. Setwise variable selection means that sets
        of variables may be selected when the true variable cannot be
        identified. This allows us to maintain FDR control but increase
        power. Details of the SHRED methods are in Organ, Kenney & Gu
        (2026) <doi:10.48550/arXiv.2603.02160>.
License: GPL-3
Encoding: UTF-8
Imports: graphics, stats, ClustOfVar
NeedsCompilation: no
Packaged: 2026-10-08 10:13:55 UTC; root
Author: Sarah Organ [aut], Toby Kenney [cre], Hong Gu [aut]
Repository: https://tjk23.r-universe.dev
Date/Publication: 2026-03-11 20:00:03 UTC
RemoteUrl: https://github.com/cran/SHRED
RemoteRef: HEAD
RemoteSha: 042f26f0e1a9fe46930265a58b6f5cf52f492484