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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.
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cpp
4.50 score 8 stars 1 dependents 132 scripts 669 downloadsPenCoxFrail - Regularization in Cox Frailty Models
Different regularization approaches for Cox Frailty Models by penalization methods are provided. see Groll et al. (2017) <doi:10.1111/biom.12637> for effects selection. See also Groll and Hohberg (2024) <doi:10.1002/bimj.202300020> for classical LASSO approach.
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openblascpp
1.00 score 7 scripts 227 downloads