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: 2024-10-21 20:30:28 UTC; cbilder
Author: Natalie Koziol [aut],
  Chris Bilder [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-22 14:00:02 UTC
Built: R 4.6.0; ; 2026-04-26 04:15:46 UTC; unix
