Methods for Analyzing Multiple Response Categorical Variables (MRCVs) R package MRCV version 0.4-0 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/>. Software Depends: R (>= 4.4.0) Imports: tables Suggests: geepack Chris Bilder <bilder@unl.edu> Comprehensive R Archive Network (CRAN) Natalie Koziol [aut], Chris Bilder [aut, cre] GPL (>= 3) 2024-10-22 application/tgz https://CRAN.R-project.org/package=MRCV doi:10.32614/CRAN.package.MRCV