Package: glmmLasso
Type: Package
Title: Variable Selection for Generalized Linear Mixed Models by
        L1-Penalized Estimation
Version: 1.6.2
Date: 2022-08-22
Author: Andreas Groll
Maintainer: Andreas Groll <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, GMMBoost
LinkingTo: Rcpp, RcppEigen
License: GPL-2
NeedsCompilation: yes
Packaged: 2022-08-22 18:51:55 UTC; ligges
Repository: CRAN
Date/Publication: 2022-08-23 09:50:02 UTC
Built: R 4.3.0; x86_64-apple-darwin20; 2023-07-11 22:27:22 UTC; unix
Archs: glmmLasso.so.dSYM
