gibbs_msm_jeffrey: Runs a gibbs sampler chain with Jeffreys prior on N to...

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

Description

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

Usage

gibbs_msm_jeffrey(seed, N = 10000, inclusionProbPriors, gibbs.list, parnames)

Arguments

seed	a seed
N	number of iterations for the gibbs sampler, default is 10,000
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

Value

a numeric matrix

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