View source: R/random_effect_learner.R View source: R/random_effect_fit_functions.R
neg_log_lik_RE_logscale | R Documentation |
a ~ N(0, VR) for fixed correlation matrix R = USU' (of rank k <= n)
z ~ N(0, VI_k)
a = US^(1/2)z
y = a + e
e ~ N(0, diag(sigma2)), L = diag(1/sigma2)
neg_log_lik_RE_logscale(lV, SUtLY, SUtLUS)
lV |
is ln(V) |
SUtLY |
is S^(1/2)U'LY |
SUtLUS |
is S^(1/2)U'LUS^(1/2) (it must have an attribute called 'evd' that has its eigenvalue decomposition) |
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