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

# Methods for Analyzing Multiple Response Categorical Variables (MRCVs)

## 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