Methods for Analyzing Multiple Response Categorical Variables (MRCVs)

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Documentation for package ‘MRCV’ version 0.4-0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

MRCV-package	Methods for Analyzing Multiple Response Categorical Variables
anova.genloglin	Perform MRCV Model Comparison Tests
farmer1	Data for One SRCV and One MRCV from the Kansas Farmer Survey
farmer2	Data for Two MRCVs from the Kansas Farmer Survey
farmer3	Data for Three MRCVs from the Kansas Farmer Survey
genloglin	Model the Association Among Two or Three MRCVs
item.response.table	Create an Item Response Table or Data Frame
marginal.table	Create a Marginal Table
MI.stat	Test for Marginal Independence
MI.test	Test for Marginal Independence
MRCV	Methods for Analyzing Multiple Response Categorical Variables
predict.genloglin	Calculate Observed and Model-Predicted Odds Ratios for MRCV Data
print.anova.genloglin	Control Printed Display of MRCV Regression Modeling Objects
print.genloglin	Control Printed Display of MRCV Regression Modeling Objects
print.MMI	Control Printed Display of Objects of Class "MMI"
print.predict.genloglin	Control Printed Display of MRCV Regression Modeling Objects
print.SPMI	Control Printed Display of Objects of Class "SPMI"
print.summary.genloglin	Control Printed Display of MRCV Regression Modeling Objects
residuals.genloglin	Calculate Standardized Pearson Residuals for MRCV Data
sealion	Steller Sea Lion Scat Data of Riemer, Wright, and Brown (2011)
summary.genloglin	Summarize Two or Three MRCV Model Fit Information