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glmmLasso: Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation
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.
Getting started
Browse package contents
Package details |
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| Author | Andreas Groll |
| Maintainer | Andreas Groll <groll@statistik.tu-dortmund.de> |
| License | GPL-2 |
| Version | 1.6.3 |
| Package repository | View on CRAN |
| Installation |
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