conting: an R package for Bayesian analysis of complete and incomplete contingency tables

Antony Overstall, Ruth King

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)
1 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)1-27
JournalJournal of Statistical Software
Volume58
Issue number7
DOIs
Publication statusPublished - Jun 2014

Keywords

  • Contingency tables
  • Capture-recapture studies
  • Reversible jump
  • Log-linear models

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