presentation of covariance, consisting of a scale vector <code>sigma</code> and a Cholesky factor or a correlation matrix, <code>L_Omega</code>. The prior on the correlations is concentrated loosely around diagonal covariance, and the prior on the scales is left open. In order to vectorize the call to <code>multi_normal_cholesky</code>, the vector of complex numbers needs to be converted to an array of size 2 vectors.</p>


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