gibbs_msm_binomial: Runs a gibbs sampler chain with a Binomial prior on N to...

In andrewpita/gibbsCapRecap: Functions for Bayesian Estimation with Capture-Recapture Data

Description

Runs a gibbs chain with a binomial prior with listing data input

Usage

gibbs_msm_binomial(seed, N = 10000, atune = 0.25, btune = 1,
  inclusionProbPriors, gibbs.list, parnames)

Arguments

seed	a seed
N	number of iterations for the gibbs sampler, default is 10,000
atune	Tuning parameter for the metropolis-hastings update of hyperparameters on phis
btune	Other tuning parameter for the metropolis-hastings update
inclusionProbPriors	priors for the inclusion probabilities of participating in each listing. should be present in a configureation file.
gibbs.list	list containing all the location listing data
parnames	vector containing parameter names to be estimated
x	log of a.phi/(a.phi+ b.phi)
y	log of (a.phi +b.phi)
phivec	vector of current values of phi

Value

a numeric matrix

andrewpita/gibbsCapRecap documentation built on May 22, 2019, 5:08 p.m.