random_prior#

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Prior for Random Effect Values#

p(u|theta)#

We define the prior for the random effects, given the fixed effects, by

\[\B{p} ( u | \theta ) = V^u ( u | \theta ) A^u ( u | \theta ) T^u ( u | \theta )\]

See V^u , A^u , and T^u for the definitions of \(V^u\), \(A^u\) and \(T^u\).