logliklasso

logliklasso.default

logliklasso.fullrank

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

ggmix_object

Extra parameters. Currently ignored.

current estimate of the eta parameter

current estimate of the sigma2 parameter

sigma2

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

beta

input matrix, of dimension n x p; where n is the number of
observations and p are the number of predictors.

response variable. must be a quantitative variable

<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>.

logliklasso: Estimation of Log-likelihood for Linear Mixed Model with Lasso Penalty

Description

Usage

Arguments

Value

See Also