Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation R package glmmLasso version 1.6.4 CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels) 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. Software Imports: stats, minqa, Matrix, Rcpp (>= 0.12.12), methods LinkingTo: Rcpp, RcppEigen Suggests: MASS, nlme Andreas Groll <groll@statistik.tu-dortmund.de> Comprehensive R Archive Network (CRAN) Andreas Groll [aut, cre, cph] GPL-2 2026-01-27 application/tgz https://CRAN.R-project.org/package=glmmLasso doi:10.32614/CRAN.package.glmmLasso