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`MCMCvis` 0.13.1 – HPD intervals, multimodel visualization, and more!

October 8, 2019
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`MCMCvis` 0.13.1 – HPD intervals, multimodel visualization, and more!

MCMCvis version 0.13.1 is now on CRAN, complete with new features for summarizing and visualizing MCMC output. See HERE and HERE for posts that cover general package features. Highlights since the last CRAN version include: ​MCMCsummary – Specify quantiles for … Continue reading →

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Check your prior posterior overlap (PPO) – MCMC wrangling in R made easy with `MCMCvis`

January 18, 2018
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Check your prior posterior overlap (PPO) – MCMC wrangling in R made easy with `MCMCvis`

When fitting a Bayesian model using MCMC (often via JAGS/BUGS/Stan), a number of checks are typically performed to make sure your model is worth interpreting without further manipulation (remember: all models are wrong, some are useful!): R-hat (AKA Gelman-Rubin statistic) … Continue reading →

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Visualizing and wrangling MCMC output in R with `MCMCvis`

February 10, 2017
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Visualizing and wrangling MCMC output in R with `MCMCvis`

Model results can be thought of as a reward for the many hours of model design, troubleshooting, re-design, etc. that analyses often require. Following the potentially exhausting mental exercise to acquire these results, I think we’d all like the interpretation … Continue reading →

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R package `MCMCvis` now on CRAN

October 10, 2016
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R package `MCMCvis` now on CRAN

MCMCvis, an R package for visualizing, manipulating, and summarizing MCMC output is now available on CRAN! It can be installed with: install.packages('MCMCvis') The vignette (tutorial) can be run with: vignette('MCMCvis') MCMCvis was designed to perform key functions for MCMC analysis … Continue reading →

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