utils_mumhproposaldist

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

mumh

mumh.alpha

mumh.beta

mumh.alphastar

mumh.betastar


This function caculates realizations from the proposal 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_mumhproposaldist: Proposal Distribution for MH Step for `mu`

Description

Usage

Arguments

Value

References

See Also