MRCV: Methods for Analyzing Multiple Response Categorical Variables (MRCVs)

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/>.

Version:	0.4-0
Depends:	R (≥ 4.4.0)
Imports:	tables
Suggests:	geepack
Published:	2024-10-22
DOI:	10.32614/CRAN.package.MRCV
Author:	Natalie Koziol [aut], Chris Bilder [aut, cre]
Maintainer:	Chris Bilder <bilder at unl.edu>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	MRCV results

Documentation:

Reference manual:	MRCV.pdf
Vignettes:	Koziol and Bilder (2014) (source)

Downloads:

Package source:	MRCV_0.4-0.tar.gz
Windows binaries:	r-devel: MRCV_0.4-0.zip, r-release: MRCV_0.4-0.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): MRCV_0.4-0.tgz, r-oldrel (arm64): not available, r-release (x86_64): MRCV_0.4-0.tgz, r-oldrel (x86_64): not available
Old sources:	MRCV archive

Linking:

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