splmm
Simultaneous Penalized Linear Mixed Effects Models
Contains functions that fit linear mixed-effects models for high-dimensional data (p>>n) with penalty for both the fixed effects and random effects for variable selection. The details of the algorithm can be found in Luoying Yang PhD thesis (Yang and Wu 2020). The algorithm implementation is based on the R package 'lmmlasso'. Reference: Yang L, Wu TT (2020). Model-Based Clustering of Longitudinal Data in High-Dimensionality. Unpublished thesis.
- Version1.2.0
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?Yes
- Last release06/13/2024
Documentation
Team
Eli Sun
Luoying Yang
Show author detailsRolesAuthorTong Tong Wu
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- Depends1 package
- Imports10 packages
- Linking To2 packages