Overstall, A. and King, R. (2014) conting: an R package for Bayesian analysis of complete and incomplete contingency tables. Journal of Statistical Software, 58(7), pp. 1-27.
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Publisher's URL: http://www.jstatsoft.org/v58/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.
| Item Type: | Articles (Other) |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Overstall, Dr Antony |
| Authors: | Overstall, A., and King, R. |
| College/School: | College of Science and Engineering > School of Mathematics and Statistics > Statistics |
| Journal Name: | Journal of Statistical Software |
| Publisher: | American Statistical Association |
| ISSN: | 1548-7660 |
| Copyright Holders: | Copyright © 2014 The Authors |
| First Published: | First published in Journal of Statistical Software 58(7):1-27 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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