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

In sahirbhatnagar/penfam: Variable Selection in Linear Mixed Models for SNP Data

Description

sigma2lasso estimates the value of the sigma2 for the linear mixed model with lasso penalty

Usage

sigma2lasso(ggmix_object, ...)

## Default S3 method:
sigma2lasso(ggmix_object, ...)

## S3 method for class 'fullrank'
sigma2lasso(ggmix_object, ..., n, beta, eta)

Arguments

ggmix_object	A ggmix_object object of class lowrank or fullrank
...	Extra parameters. Currently ignored.
n	number of observations
beta	current estimate of the beta parameter including the intercept. this should be of length p+1, where p is the number of variables.
eta	current estimate of the eta parameter

Value

A decreasing sequence of tuning parameters

Note

There is a closed form solution for sigma^2, given beta and eta. This function isn't meant to be called directly by the user.

See Also

ggmix

sahirbhatnagar/penfam documentation built on April 14, 2021, 9:38 a.m.