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: 2026-07-16 07:38:19 UTC; root
Author: Jean-Paul Fox [aut, cre], Konrad Klotzke [aut], Duco Veen [aut]
Maintainer: Jean-Paul Fox <jpfox00@gmail.com>
Config/pak/sysreqs: cmake make
Repository: https://jpfox00.r-universe.dev
Date/Publication: 2025-09-18 12:40:08 UTC
RemoteUrl: https://github.com/cran/GLMMRR
RemoteRef: HEAD
RemoteSha: 0a3574a7aad38d4e34996b9da4c27c0e0c05bdab