mcgibbsit

Warnes and Raftery's 'MCGibbsit' MCMC Run Length and Convergence Diagnostic

CRAN Package

Implementation of Warnes & Raftery's MCGibbsit run-length and convergence diagnostic for a set of (not-necessarily independent) Markov Chain Monte Carlo (MCMC) samplers. It combines the quantile estimate error-bounding approach of the Raftery and Lewis MCMC run length diagnostic 'gibbsit' with the between verses within chain approach of the Gelman and Rubin MCMC convergence diagnostic.


Documentation


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Insights

Last 30 days

This package has been downloaded 186 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.

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0 downloadsMar 2, 2025
6 downloadsMar 3, 2025
6 downloadsMar 4, 2025
24 downloadsMar 5, 2025
3 downloadsMar 6, 2025
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1 downloadsMar 8, 2025
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3 downloadsMar 10, 2025
10 downloadsMar 11, 2025
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2 downloadsMar 14, 2025
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3 downloadsMar 25, 2025
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2 downloadsApr 1, 2025
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0 downloadsApr 5, 2025
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24

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 2,806 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 43 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


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Dependencies

  • Depends1 package
  • Suggests2 packages