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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 |
| Reference manual: | MRCV.pdf |
| Vignettes: |
Koziol and Bilder (2014) (source) |
| 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 |
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These binaries (installable software) and packages are in development.
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