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Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data. Includes Cauchit, Compl. LogLog, Logistic, and Probit link functions for Bernoulli Distributed RR data. RR Designs: Warner, Forced Response, Unrelated Question, Kuk, Crosswise, and Triangular. Reference: Fox, JP, Veen, D. and Klotzke, K. (2018). Generalized Linear Mixed Models for Randomized Responses. Methodology. <doi:10.1027/16142241/a000153>.
Package details 


Author  JeanPaul Fox [aut], Konrad Klotzke [aut], Duco Veen [aut] 
Maintainer  Konrad Klotzke <omd.bms.utwente.stats@gmail.com> 
License  GPL3 
Version  0.5.0 
Package repository  View on CRAN 
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