Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Antony M. Overstall, Ruth King
Title: conting: An R Package for Bayesian Analysis of Complete and Incomplete Contingency Tables
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.

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Paper: conting: An R Package for Bayesian Analysis of Complete and Incomplete Contingency Tables     Download PDF (Downloads: 3533)
Supplements:
conting_1.3.tar.gz: R source package Download (Downloads: 336; 42KB)
v58i07.R: R example code from the paper Download (Downloads: 429; 8KB)
DOI: 10.18637/jss.v058.i07

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.