Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data R package GLMMRR version 0.6.0 CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels) CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics) 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>. Software Depends: R (>= 3.5.0), lme4, methods Imports: lattice, stats, utils, grDevices, RColorBrewer Jean-Paul Fox <jpfox00@gmail.com> Comprehensive R Archive Network (CRAN) Jean-Paul Fox [aut, cre], Konrad Klotzke [aut], Duco Veen [aut] GPL-3 2025-09-18 application/tgz https://CRAN.R-project.org/package=GLMMRR doi:10.32614/CRAN.package.GLMMRR