gibbs_chain: Runs a gibbs sampler chain for capture recapture data

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

Description

Runs a gibbs chain for capture recapture data

Usage

gibbs_chain(dataList, seed, N = 10000, atune = 0.25, btune = 1,
  parnames = NULL)

Arguments

dataList	list containing a locList for each location
seed	a seed
N	number of iterations for the gibbs sampler, default is 10,000
atune	Tuning parameter for the Metropolis-Hastings update of beta hyperparameters. Default is 0.25.
btune	Tuning parameter for Metropolis-Hastings update of beta hyperparamters. Defaults is 1.
parnames	Vector containing all the parameter names, must coincide with the parameters in dataList

Value

a numeric matrix

andrewpita/gibbsRecapR documentation built on June 12, 2019, 12:34 a.m.