logliklasso {ggmix} | R Documentation |
Estimation of Log-likelihood for Linear Mixed Model with Lasso Penalty
Description
sigma2lasso
estimates the value of the sigma2 for the
linear mixed model with lasso penalty
Usage
logliklasso(ggmix_object, ...)
## Default S3 method:
logliklasso(ggmix_object, ...)
## S3 method for class 'fullrank'
logliklasso(ggmix_object, ..., eta, sigma2, beta, nt, x, y)
Arguments
ggmix_object |
A ggmix_object object of class |
... |
Extra parameters. Currently ignored. |
eta |
current estimate of the eta parameter |
sigma2 |
current estimate of the sigma2 parameter |
beta |
current estimate of the beta parameter including the intercept. this should be of length p+1, where p is the number of variables. |
nt |
total number of observations |
x |
input matrix, of dimension n x p; where n is the number of observations and p are the number of predictors. |
y |
response variable. must be a quantitative variable |
Value
A decreasing sequence of tuning parameters
Note
This function isn't meant to be called directly by the user.
See Also
[Package ggmix version 0.0.2 Index]