I am fitting a random effects logistic model with a random intercept and
random slope. I have placed a Wishart prior distribution on the 2x2
precision matrix for the random effects. The model compiles and runs
correctly. I have generated 1000 samples from the posterior distribution.
I now want to characterize the posterior distribution of the precision
matrix. I want to do this so that I can create a distribution with
greater variance than the posterior distribution, so that I can draw
samples from this over-dispersed distribution to use as new starting
values. I then want to run multiple parallel chains from these over-
dispersed starting values.
How can I use the sample from the intial posterior distribution the
precision matrix to do this?
Thanks very much for any suggestions.
Peter
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