MRCV

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/.

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