Package: GLMMRR
Type: Package
Title: Generalized Linear Mixed Model (GLMM) for Binary Randomized
        Response Data
Version: 0.6.0
Authors@R: c(person(given = "Jean-Paul",
                         family = "Fox",
                         role = c("aut", "cre"),
                         email = "jpfox00@gmail.com"),
                  person(given = "Konrad",
                         family = "Klotzke",
                         role = "aut"),
                  person(given = "Duco",
                         family = "Veen",
                         role = "aut"))
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: 7.3.3
NeedsCompilation: no
Packaged: 2025-09-18 08:21:50 UTC; FoxGJA
Author: Jean-Paul Fox [aut, cre],
  Konrad Klotzke [aut],
  Duco Veen [aut]
Maintainer: Jean-Paul Fox <jpfox00@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-18 12:40:08 UTC
Built: R 4.6.0; ; 2026-04-28 04:19:19 UTC; unix
