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

Documentation for package ‘GLMMRR’ version 0.5.0

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