MRCV: Methods for Analyzing Multiple Response Categorical Variables (MRCVs)
Natalie A. Koziol, Christopher R. Bilder · 2013
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) , Bilder and Loughin (2004) , Bilder and Loughin (2007) , and Koziol and Bilder (2014) .