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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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CreateTheSimulationPlots.R
FunctionsOnly.R
README.md
Simulations2_withContEst.Rdata
Simulations2_withContEst10.Rdata
Simulations2_withContEst2.Rdata
Simulations2_withContEst3.Rdata
Simulations2_withContEst4.Rdata
Simulations2_withContEst5.Rdata
Simulations2_withContEst6.Rdata
Simulations2_withContEst7.Rdata
Simulations2_withContEst8.Rdata
Simulations2_withContEst9.Rdata
Simulations2_withContEst910.Rdata
SimulationsScript.R
SimulationsWithContEst.Rdata
simCoverCI.pdf
simWidth.pdf

README.md

title author date output
README
Lauren Kennedy
26 April 2016
html_document

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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