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conting : an R package for Bayesian analysis of complete and incomplete contingency tables
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dc.contributor.author | Overstall, Antony | |
dc.contributor.author | King, Ruth | |
dc.date.accessioned | 2014-07-21T13:31:02Z | |
dc.date.available | 2014-07-21T13:31:02Z | |
dc.date.issued | 2014-06 | |
dc.identifier.citation | Overstall , A & King , R 2014 , ' conting : an R package for Bayesian analysis of complete and incomplete contingency tables ' , Journal of Statistical Software , vol. 58 , no. 7 , pp. 1-27 . https://doi.org/10.18637/jss.v058.i07 | en |
dc.identifier.other | PURE: 41270428 | |
dc.identifier.other | PURE UUID: 356e0069-5430-467f-8306-c6576b9c0cab | |
dc.identifier.other | Scopus: 84920749060 | |
dc.identifier.other | WOS: 000341584600001 | |
dc.identifier.uri | https://hdl.handle.net/10023/5050 | |
dc.description.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. | |
dc.language.iso | eng | |
dc.relation.ispartof | Journal of Statistical Software | en |
dc.rights | © 2014 The Authors. This work is licensed under the licenses Paper: Creative Commons Attribution 3.0 Unported License. | en |
dc.subject | Contingency tables | en |
dc.subject | Capture-recapture studies | en |
dc.subject | Reversible jump | en |
dc.subject | Log-linear models | en |
dc.subject | QA Mathematics | en |
dc.subject | QA76 Computer software | en |
dc.subject.lcc | QA | en |
dc.subject.lcc | QA76 | en |
dc.title | conting : an R package for Bayesian analysis of complete and incomplete contingency tables | en |
dc.type | Journal article | en |
dc.contributor.sponsor | Medical Research Council | en |
dc.description.version | Publisher PDF | en |
dc.contributor.institution | University of St Andrews. School of Mathematics and Statistics | en |
dc.contributor.institution | University of St Andrews. Scottish Oceans Institute | en |
dc.contributor.institution | University of St Andrews. Centre for Research into Ecological & Environmental Modelling | en |
dc.identifier.doi | https://doi.org/10.18637/jss.v058.i07 | |
dc.description.status | Peer reviewed | en |
dc.identifier.url | http://www.jstatsoft.org/v58/i07 | en |
dc.identifier.grantnumber | PO: MCZ907778 | en |
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