sigma2lasso

sigma2lasso.default

sigma2lasso.fullrank

A ggmix_object object of class <code>lowrank</code> or
<code>fullrank</code>

ggmix_object

Extra parameters. Currently ignored.

current estimate of the beta parameter including the intercept.
this should be of length p+1, where p is the number of variables.

beta

current estimate of the eta parameter

<code>sigma2lasso</code> estimates the value of the sigma2 for the
 linear mixed model with lasso penalty

Fit penalized multivariable linear mixed models with a single
random effect to control for population structure in genetic association
studies. The goal is to simultaneously fit many genetic variants at the
same time, in order to select markers that are independently associated
with the response. Can also handle prior annotation information,
for example, rare variants, in the form of variable weights. For more
information, see the website below and the accompanying paper:
Bhatnagar et al., "Simultaneous SNP selection and adjustment for
population structure in high dimensional prediction models", 2020,
<DOI:10.1371/journal.pgen.1008766>.

sigma2lasso: Estimation of Sigma2 for Linear Mixed Model with Lasso Penalty

Description

Usage

Arguments

Value

See Also