utils_mumhproposaldist: Proposal Distribution for MH Step for 'mu'

In EpiBayes: Implements Hierarchical Bayesian Models for Epidemiological Applications

Description

This function caculates realizations from the proposal distribution for mu in the Metropolis-Hastings (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.

Usage

utils_mumhproposaldist(mumh, mumh.alpha, mumh.beta, mumh.alphastar,
  mumh.betastar)

Arguments

mumh	The proposed or old value of mu.
mumh.alpha	The old first shape parameter.
mumh.beta	The old second shape parameter.
mumh.alphastar	The new first shape parameter.
mumh.betastar	The new second shape parameter.

Value

A realization from the (beta) proposal distribution.

References

Norets, A. and Tang, X. MCMC estimation of a finite beta mixture. Technical report, Princeton University, 2010.

See Also

Used in the functions EpiBayes_ns and EpiBayes_s.

EpiBayes documentation built on May 30, 2017, 4:01 a.m.