Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data
Plot diagnostics for a RRglm object
Get cell means for unique groups of covariates
Get number of units in each cell
Compute Estimated Population Prevalence
Compute Randomized Response parameters
Get unique groups of covariates
Internal function to draw a dotplot
Plot diagnostics for a RRglmerMod object
Print RRglmGOF values
Print RRglm summary
Print RRglmer summary
Accessing GLMMRR Fits for fixed-effect models
Accessing GLMMRR Fits for mixed-effect models
Binomial family adjusted for Randomized Response parameters.
Fitting Generalized Linear Models with binary Randomized Response data
Fitting Generalized Linear Mixed-Effects Models with binary Randomized...
Goodness-of-fit statistics for binary Randomized Response data
Cauchit link function with Randomized Response parameters.
Log-Log link function with Randomized Response parameters.
Logit link function with Randomized Response parameters.
Probit link function with Randomized Response parameters.
Summarizing GLMMRR fits for fixed-effect models
Summarizing GLMMRR fits for fixed-effect models
Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data. Includes Cauchit, Compl. Log-Log, Logistic, and Probit link functions for Bernoulli Distributed RR data. RR Designs: Warner, Forced Response, Unrelated Question, Kuk, Crosswise, and Triangular. Reference: Fox, J-P, Veen, D. and Klotzke, K. (2018). Generalized Linear Mixed Models for Randomized Responses. Methodology. <doi:10.1027/1614-2241/a000153>.