R: Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data

# Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data

## Documentation for package ‘GLMMRR’ version 0.6.0

- DESCRIPTION file
- Package README

## Help Pages

ETHBE | Online Survey on "Exams and Written Papers"
getCellMeans | Get cell means for unique groups of covariates
getCellSizes | Get number of units in each cell
getMLPrevalence | Compute Estimated Population Prevalence
getRRparameters | Compute Randomized Response parameters
getUniqueGroups | Get unique groups of covariates
MTURK | MTurk Survey on "Mood and Personality"
Plagiarism | An Experimental Survey Measuring Plagiarism Using the Crosswise Model
plot.RRglm | Plot diagnostics for a RRglm object
plot.RRglmerMod | Plot diagnostics for a RRglmerMod object
print.RRglmGOF | Print RRglmGOF values
print.summary.RRglm | Print RRglm summary
print.summary.RRglmerMod | Print RRglmer summary
residuals.RRglm | Accessing GLMMRR Fits for fixed-effect models
residuals.RRglmerMod | Accessing GLMMRR Fits for mixed-effect models
RRbinomial | Binomial family adjusted for Randomized Response parameters.
RRglm | Fitting Generalized Linear Models with binary Randomized Response data
RRglmer | Fitting Generalized Linear Mixed-Effects Models with binary Randomized Response data
RRglmGOF | Goodness-of-fit statistics for binary Randomized Response data
RRlink.cauchit | Cauchit link function with Randomized Response parameters.
RRlink.cloglog | Log-Log link function with Randomized Response parameters.
RRlink.logit | Logit link function with Randomized Response parameters.
RRlink.probit | Probit link function with Randomized Response parameters.
summary.RRglm | Summarizing GLMMRR fits for fixed-effect models
summary.RRglmerMod | Summarizing GLMMRR fits for fixed-effect models