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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 Unpublished thesis.
Getting started
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Package details |
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| Author | Luoying Yang [aut], Eli Sun [aut, cre], Tong Tong Wu [aut] |
| Maintainer | Eli Sun <eli_sun@urmc.rochester.edu> |
| License | GPL-3 |
| Version | 1.2.0 |
| Package repository | View on CRAN |
| Installation |
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