Interactive Tutorial on Dirichlet Processes Using R Shiny

This article is originally published at https://stablemarkets.wordpress.com

For More posts on Bayesian models, Bayesian Nonparametrics, and causal inference follow me on twitter @stablemarkets.

My advisor and his collaborator are teaching a short course on Bayesian Nonparametric Methods for Causal Inference at JSM next week.

As part of the short course, I made an interactive tutorial on Dirichlet Processes using R Shiny.

All underlying code is hosted on GitHub – you can also run locally from GitHub by running the code below. This local version may be faster if there are too many users on the web version.

shiny::runGitHub('jasonroy0/BNP-short-course/', username = 'jasonroy0', subdir = 'DP ShinyApp/DPMixApp/')

Please open an issue on GitHub if you see any bugs. Thanks and enjoy!

Thanks for visiting r-craft.org
This article is originally published at https://stablemarkets.wordpress.com
Please visit source website for post related comments.