Nathan (Nat) Goodman September 27, 2019
A collection of R scripts and documents exploring Bayesian methods through easy examples. The content at present is a blog post in progress that uses Bayesian methods to estimate true effect size. More TBD.
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blog post What's the Effect Size? It Depends What You Think using Bayesian methods to estimate true effect size in two group difference-of-mean studies
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working paper Bayesian Basics with a simple R implementation of Bayes's formula
THE SOFTWARE IS A WORK IN PROGRESS. THE CODE IS ROUGH and SOFTWARE DOCUMENTATION NONEXISTENT. MUCH OF THE CODE DOESN'T WORK!! PLEASE GET IN TOUCH IF YOU NEED HELP
The software is not a package and cannot be installed by devtools::install_github or related. Sorry. The simplest way to get the software is to download or clone the entire repo.
More TBD.
Please post comments on Twitter or Facebook, or contact me by email [email protected].
Please report bugs, other software problems, and feature requests using the GitHub Issue Tracker. I will be notified, and you'll be apprised of progress. As already noted, the software is still rough and software documentation nonexistent.
Copyright (c) 2019 Nathan Goodman
The software is open source and free, released under the MIT License. The documentation is open access, released under the Creative Commons Attribution 4.0 International License.