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The accompanying code for the paper titled Not every credible interval is credible: On the importance ofrobust methods in Bayesian data analysis

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Lauren Kennedy
Nov 5, 2016
9d01ef6 · Nov 5, 2016

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Lauren Kennedy
26 April 2016
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These are scripts used to run the simulations presented in the (in preparation) paper "Not every credible interval is credible: On the importance of robust methods in Bayesian data analysis" authored by Lauren Kennedy, Daniel Navarro, Amy Perfors and Nancy Briggs.

Three R scripts are included: -FunctionsOnly.R
Contains the functions only to be used -SimulationsScript.R Runs the simulations reported in the manuscript. Approximate run time is 12hours on a single core. Because of this, we have included the data reported in the paper for convenience. This is included in -SimulationsWithContEst.Rdata To create the plots we used in the paper, please refer to the script -CreateTheSimulationPlots.R

The two pdfs are simply the plots produced, and are as represented in the paper.

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The accompanying code for the paper titled Not every credible interval is credible: On the importance ofrobust methods in Bayesian data analysis

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