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glmmLasso (version 1.6.4)

Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation

Description

A variable selection approach for generalized linear mixed models by L1-penalized estimation is provided, see Groll and Tutz (2014) . See also Groll and Tutz (2017) for discrete survival models including heterogeneity.

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Version

Install

install.packages('glmmLasso')

Monthly Downloads

1,081

Version

1.6.4

License

GPL-2

Maintainer

Andreas Groll

Last Published

January 27th, 2026

Functions in glmmLasso (1.6.4)

soccer

German Bundesliga data for the seasons 2008-2010
glmmLassoControl

Control Values for glmmLasso fit
glmmLasso

Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation.
acat

Family Object for Ordinal Regression with Adjacent Categories Probabilities
cumulative

Family Object for Ordinal Regression with Cumulative Probabilities
knee

Clinical pain study on knee data