Simultaneous Penalized Linear Mixed Effects Models
Plot the tuning results of a splmm.tuning object
3D Plot the tuning results of a 'splmm.tuning' object when tuning ov...
Print a short summary of a splmm object.
tools:::Rd_package_title("splmm")
Function to fit linear mixed-effects model with double penalty for fix...
Options for the 'splmm' Algorithm
Tuning funtion of 'splmm' object
Summarize an 'splmm' object
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 Unpublished thesis.