simulated_data

A toy dataset simulated for demonstration for the <code>splmm</code> function.

datasets

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 Unpublished thesis.

Eli Sun

splmm

Simultaneous Penalized Linear Mixed Effects Models

Luoying Yang

Tong Tong Wu

simulated_data function

<dl>
 <dt>y</dt>
<dd>Response variable.</dd> <dt>x</dt>
<dd>Fixed-effects design matrix.</dd> <dt>z</dt>
<dd>Random-effects design matrix</dd> <dt>grp</dt>
<dd>Subject ID.</dd> 
</dl>

Format

Dataset simulated for toy example — simulated_data

<dl>
 <dt>y</dt>
<dd>Response variable.</dd>

 <dt>x</dt>
<dd>Fixed-effects design matrix.</dd>

 <dt>z</dt>
<dd>Random-effects design matrix</dd>

 <dt>grp</dt>
<dd>Subject ID.</dd>

 
</dl>

simulated_data: Dataset simulated for toy example

Description

Usage

Arguments

Format

Examples