|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.|
Page views:: 2075. Submitted: 2012-12-12. Published: 2014-06-30.
conting: An R Package for Bayesian Analysis of Complete and Incomplete Contingency Tables
This work is licensed under the licenses
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.