phenotypes

<p>A matrix consisting of 1000 rows and 3 columns. Each row
corresponds to a different individual. Each column corresponds to a different
trait. The different traits were simulated to be uncorrelated to one another.
The trait in the first, second, and third column have a heritability equal to
0.1, 0.3, and 0.5, respectively.</p>

datasets

Proximal gradient descent solver for the operators lasso, (fitted)
group lasso, and (fitted) sparse-group lasso. The implementation involves
backtracking line search and warm starts. Input data needs to be clustered/
grouped for each group lasso variant before calling these algorithms.

Jan Klosa

seagull

Lasso, Group Lasso, and Sparse-Group Lasso for Mixed Models

Noah Simon

D<c3><b6>rte Wittenburg

phenotypes function

<p>A matrix with of 1000 rows and 3 columns. One row per individual. One
column per trait.</p>

phenotypes: Simulated phenotypes

Description

Usage

Arguments

Format