conting: an R package for Bayesian analysis of complete and incomplete contingency tables
conting: an R package for Bayesian analysis of complete and incomplete contingency tables
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.
1-27
Overstall, Antony
c1d6c8bd-1c5f-49ee-a845-ec9ec7b20910
King, Ruth
64ab7d0e-2ce7-4c68-96c3-e25d876542be
30 June 2014
Overstall, Antony
c1d6c8bd-1c5f-49ee-a845-ec9ec7b20910
King, Ruth
64ab7d0e-2ce7-4c68-96c3-e25d876542be
Overstall, Antony and King, Ruth
(2014)
conting: an R package for Bayesian analysis of complete and incomplete contingency tables.
Journal of Statistical Software, 58 (7), .
(doi:10.18637/jss.v058.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.
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Published date: 30 June 2014
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Statistics
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Local EPrints ID: 401175
URI: http://eprints.soton.ac.uk/id/eprint/401175
PURE UUID: 89d89b1a-6f49-43fb-ba1a-24c5ad457817
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Date deposited: 05 Oct 2016 14:27
Last modified: 15 Mar 2024 03:27
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Author:
Ruth King
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