In this vignette, we will show the use of the `BayesianMCPMod` R package for trial planning for binary data. For this setting the main specifications need to happen on the logit scale, see also the ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

This repository holds open source Stan models, data simulators, and real data. There are models translating those found in books, most of the BUGS examples, and some basic examples used in the manual.

Statistical communication through data visualization is essential across diverse fields, including health, climate, science, education, and policymaking. Despite its widespread use, there is currently ...

A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...