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conting

R package conting: Bayesian Analysis of Contingency Tables. Bayesian analysis of complete and incomplete contingency tables.

Keywords for this software

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  • contingency tables
  • capture-recapture studies
  • R package
  • Chapman adjustment
  • nonparametric mixture model
  • prior correspondence
  • capture-recapture
  • posterior correspondence
  • asymptotical normality
  • mixtures of (g)-priors
  • product space MCMC
  • reversible jump
  • nonidentifiability
  • heterogeneity
  • categorical variables
  • R
  • Petersen estimator
  • list effects
  • log-linear models
  • bias correction
  • Journal of Statistical Software
  • posterior model probabilities
  • Bayes factor
  • estimator
  • Bayesian model selection
  • reversible jump MCMC

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: Antony M. Overstall
  • Dependencies: R

  • Add information on this software.


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References in zbMATH (referenced in 4 articles , 1 standard article )

Showing results 1 to 4 of 4.
y Sorted by year (citations)

  1. Heck, Daniel W.; Overstall, Antony M.; Gronau, Quentin F.; Wagenmakers, Eric-Jan: Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models (2019)
  2. Papathomas, Michail: On the correspondence from Bayesian log-linear modelling to logistic regression modelling with (g)-priors (2018)
  3. Mao, Chang Xuan; Huang, Ruochen; Zhang, Sijia: Petersen estimator, Chapman adjustment, list effects, and heterogeneity (2017)
  4. Antony Overstall; Ruth King: conting: An R Package for Bayesian Analysis of Complete and Incomplete Contingency Tables (2014) not zbMATH

  • Article statistics & filter:

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  • MSC classification / top
    • Top MSC classes
      • 60 Probability theory and...
      • 62 Statistics
      • 65 Numerical analysis

  • Publication year
    • 2010 - today
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