log_lik {plmmr} | R Documentation |
Evaluate the negative log-likelihood of an intercept-only Gaussian plmm model
Description
This function allows you to evaluate the negative log-likelihood of a linear mixed model under the assumption of a null model in order to estimate the variance parameter, eta.
Usage
log_lik(eta, n, s, U, y, rot_y = NULL)
Arguments
eta |
The proportion of variance in the outcome that is attributable to causal SNP effects. In other words, signal-to-noise ratio. |
n |
The number of observations |
s |
The singular values of K, the realized relationship matrix |
U |
The left-singular vectors of the standardized design matrix |
y |
Continuous outcome vector. |
rot_y |
Optional: if y has already been rotated, then this can be supplied. |
Value
the value of the log-likelihood of the PLMM, evaluated with the supplied parameters
[Package plmmr version 4.1.0 Index]