| 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 |