# load example mcmc.list
data(cjs)
# find an array node from your model
match_params(cjs, "SIG")
# extract the posterior mean of it
SIG_mean = post_summ(cjs, "SIG")["mean",]
# note that it has element names
SIG_mean
# create a matrix with elements in the proper place
array_format(SIG_mean)
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