conting: An R Package for Bayesian Analysis of Complete and Incomplete Contingency Tables

Antony M. Overstall and Ruth King

Journal of Statistical Software, 2014, vol. 058, issue i07

Abstract: The aim of this paper is to demonstrate the R package conting for the Bayesian analysis of complete and incomplete contingency tables using hierarchical log-linear models. This package allows a user to identify interactions between categorical factors (via complete contingency tables) and to estimate closed population sizes using capture-recapture studies (via incomplete contingency tables). The models are fitted using Markov chain Monte Carlo methods. In particular, implementations of the Metropolis-Hastings and reversible jump algorithms appropriate for log-linear models are employed. The conting package is demonstrated on four real examples.

Date: 2014-06-30
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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:058:i07

DOI: 10.18637/jss.v058.i07

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