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/* SEEDS example with uniform prior on the standard deviation of the
random effects. The autocorrelation is smaller than for other
parameterizations, allowing a shorter run.
*/
model in "seedsuni.bug"
data in "seeds-data.R"
compile
inits in "seeds-init.R"
initialize
update 5000
monitor set alpha0 , thin(10)
monitor set alpha1 , thin(10)
monitor set alpha2 , thin(10)
monitor set alpha12 , thin(10)
monitor set sigma , thin(10)
update 25000
coda *
exit