Cholesky decomposition and correlation among random effects

I ran a quick test. It seems the “simpler” model, without modelling the covariance matrix, is slightly better then the one that includes the covariance matrix. On both models I got some warnings when computing WAIC and LOO, so the results may not be super trustworthy. Anyway, it gives an idea I guess.

Model WAIC LOO
w\o covariance matrix 1718.72 1722.01
w\ covariance matrix 1719.59 1723.77

Further investigation is needed :stuck_out_tongue:

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