Package: glmmLasso
Type: Package
Title: Variable Selection for Generalized Linear Mixed Models by
        L1-Penalized Estimation
Version: 1.6.4
Date: 2026-01-26
Authors@R: person(given = "Andreas",
                      family = "Groll",
                      role = c("aut", "cre", "cph"),
                      email = "groll@statistik.tu-dortmund.de")
Description: A variable selection approach for generalized linear mixed
        models by L1-penalized estimation is provided, see Groll and
        Tutz (2014) <doi:10.1007/s11222-012-9359-z>. See also Groll and
        Tutz (2017) <doi:10.1007/s10985-016-9359-y> for discrete
        survival models including heterogeneity.
Imports: stats, minqa, Matrix, Rcpp (>= 0.12.12), methods
LinkingTo: Rcpp, RcppEigen
Suggests: MASS, nlme
License: GPL-2
NeedsCompilation: yes
Packaged: 2026-10-01 09:29:40 UTC; root
Author: Andreas Groll [aut, cre, cph]
Maintainer: Andreas Groll <groll@statistik.tu-dortmund.de>
Config/pak/sysreqs: make
Repository: https://hoarzpassey.r-universe.dev
Date/Publication: 2026-01-27 13:40:02 UTC
RemoteUrl: https://github.com/cran/glmmLasso
RemoteRef: HEAD
RemoteSha: 8d5d623381bee263158be3774f48b4f1ff928fc7