utils_mumhtargetdist

The proposed or old value of <code>mu</code>.

mumh

The current MCMC iteration's value for <code>psi</code> (related to the variability
of the disease prevalences among infected clusters of subjects).

The current MCMC iteration's value for <code>pi</code> (the subject-level
prevalences in each cluster).

The current MCMC iteration's value for <code>z.pi</code> (the indicator variables
corresponding to the disease status of each cluster).

z.pi

The old first and second shape parameters.

muparm


This function caculates realizations from the target distribution for <code>mu</code> in
    the Metropolis-Hastings (MH) step in the hybrid Gibbs sampler used in the
    <code><a rd-options="" href="/link/EpiBayes_ns?package=EpiBayes&version=0.1.2" data-mini-rdoc="EpiBayes::EpiBayes_ns">EpiBayes_ns</a></code> and <code><a rd-options="" href="/link/EpiBayes_s?package=EpiBayes&version=0.1.2" data-mini-rdoc="EpiBayes::EpiBayes_s">EpiBayes_s</a></code> functions. Recall,
    in the context of disease freedom, <code>mu</code> was the average disease prevalence
    in a given diseased cluster of subjects.


Hierarchical Bayesian models for use in disease
freedom and disease prevalence studies, designed
with epidemiological applications in mind. The models
themselves are in the spirit of those presented in Branscum
et al. (2006) (see package documentation for full
reference). The helper functions and methods were designed
to make implementation and processing of the complex model
output relatively simple in application.

utils_mumhtargetdist: Target Distribution for MH Step for `mu`

Description

Usage

Arguments

Value

References

See Also