gibbs_fsw_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_fsw_jeffrey(seed, N = 10000, inclusionProbPriors, constraint,
  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.
constraint	Value that represents the lower bound "known" number of flas participants in Mbabane
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.