Table 6

#A

A matrix which stores ZZ' for all variance components

#phi_start

Staring values for the variance components

#M_phi

Matrix with VC estimates at each iteration

#phi

VC estimate from the latest iteration

#DL

Gradient of the restricted log-likelihood

#FS

Fisher's Information matrix

#V

Variance matrix of y

#P

The projection matrix

#llh

Restricted log-likelihood

#beta_hat

Estimates of fixed effects

#conv_test

Binary variable equal to 1 if the algorithm converges within n_maxiter iterations