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

The MRCV package 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.

AuthorNatalie Koziol and Chris Bilder
Date of publication2014-09-04 06:55:56
MaintainerNatalie Koziol <nak371@gmail.com>
LicenseGPL (>= 3)
Version0.3-3

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Files in this package

MRCV
MRCV/inst
MRCV/inst/doc
MRCV/inst/doc/MRCV-vignette.Rnw
MRCV/inst/doc/MRCV-vignette.pdf
MRCV/NAMESPACE
MRCV/data
MRCV/data/sealion.txt.gz
MRCV/data/farmer2.txt.gz
MRCV/data/farmer3.txt.gz
MRCV/data/farmer1.txt.gz
MRCV/R
MRCV/R/BLseven.R MRCV/R/BLfour.R
MRCV/vignettes
MRCV/vignettes/MRCV-vignette.Rnw
MRCV/vignettes/RJournal.sty
MRCV/vignettes/koziol-bilder.bib
MRCV/vignettes/MRCVplot.pdf
MRCV/MD5
MRCV/build
MRCV/build/vignette.rds
MRCV/DESCRIPTION
MRCV/man
MRCV/man/marginal.table.Rd MRCV/man/print.genloglin.Rd MRCV/man/sealion.Rd MRCV/man/print.SPMI.Rd MRCV/man/farmer3.Rd MRCV/man/genloglin.Rd MRCV/man/farmer1.Rd MRCV/man/item.response.table.Rd MRCV/man/summary.genloglin.Rd MRCV/man/predict.genloglin.Rd MRCV/man/MRCV-package.Rd MRCV/man/print.MMI.Rd MRCV/man/anova.genloglin.Rd MRCV/man/residuals.genloglin.Rd MRCV/man/MI.test.Rd MRCV/man/farmer2.Rd

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