This function caculates realizations from the target distribution for mu
in
the MetropolisHastings (MH) step in the hybrid Gibbs sampler used in the
EpiBayes_ns
and EpiBayes_s
functions. Recall,
in the context of disease freedom, mu
was the average disease prevalence
in a given diseased cluster of subjects.
1  utils_mumhtargetdist(mumh, psi, pi, z.pi, muparm)

mumh 
The proposed or old value of 
psi 
The current MCMC iteration's value for 
pi 
The current MCMC iteration's value for 
z.pi 
The current MCMC iteration's value for 
muparm 
The old first and second shape parameters. 
A realization from the target distribution.
Norets, A. and Tang, X. MCMC estimation of a finite beta mixture. Technical report, Princeton University, 2010.
Used in the functions EpiBayes_ns
and EpiBayes_s
.
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
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