Package: MRCV
Version: 0.4-0
Date: 2024-10-18
Title: Methods for Analyzing Multiple Response Categorical Variables
        (MRCVs)
Authors@R: c(person(given = "Natalie",
                      family = "Koziol",
                      role = "aut"),
               person(given = "Chris",
                      family = "Bilder",
                      role = c("aut", "cre"),
                      email = "bilder@unl.edu"))
Maintainer: Chris Bilder <bilder@unl.edu>
Depends: R (>= 4.4.0)
Imports: tables
Suggests: geepack
LazyData: TRUE
Description: Provides functions for analyzing the association between
        one single response categorical variable (SRCV) and one
        multiple response categorical variable (MRCV), or between two
        or three MRCVs.  A modified Pearson chi-square statistic can be
        used to test for marginal independence for the one or two MRCV
        case, or a more general loglinear modeling approach can be used
        to examine various other structures of association for the two
        or three MRCV case.  Bootstrap- and asymptotic-based
        standardized residuals and model-predicted odds ratios are
        available, in addition to other descriptive information.
        Statisical methods implemented are described in Bilder et al.
        (2000) <doi:10.1080/03610910008813665>, Bilder and Loughin
        (2004) <doi:10.1111/j.0006-341X.2004.00147.x>, Bilder and
        Loughin (2007) <doi:10.1080/03610920600974419>, and Koziol and
        Bilder (2014)
        <https://journal.r-project.org/articles/RJ-2014-014/>.
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2026-07-14 05:38:38 UTC; root
Author: Natalie Koziol [aut], Chris Bilder [aut, cre]
Repository: https://cran.r-universe.dev
Date/Publication: 2024-10-22 14:00:02 UTC
RemoteUrl: https://github.com/cran/MRCV
RemoteRef: HEAD
RemoteSha: 51f5842ad39eb984c1718b5f7b7c51ec642caac1