Package: GLMMRR
Type: Package
Title: Generalized Linear Mixed Model (GLMM) for Binary Randomized
        Response Data
Version: 0.5.0
Author: Jean-Paul Fox [aut], Konrad Klotzke [aut], Duco Veen [aut]
Maintainer: Konrad Klotzke <omd.bms.utwente.stats@gmail.com>
Depends: R (>= 3.5.0), lme4, methods
Imports: lattice, stats, utils, grDevices, RColorBrewer
Description: 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>.
License: GPL-3
LazyData: TRUE
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-13 14:09:18 UTC; kk
Repository: CRAN
Date/Publication: 2021-01-13 14:50:03 UTC
Built: R 4.1.0; ; 2021-05-27 03:21:30 UTC; unix
