Rejoinder for the discussion of the paper "A novel algorithmic approach to Bayesian Logic Regression"
arXiv:2005.00605v1
Originality Synthesis-oriented
AI Analysis
This is an incremental update addressing community feedback, primarily relevant to researchers in Bayesian statistics and logic regression.
The authors responded to feedback on their Bayesian Logic Regression paper, providing extensions and a tutorial for their R package EMJMCMC.
In this rejoinder we summarize the comments, questions and remarks on the paper "A novel algorithmic approach to Bayesian Logic Regression" from the discussants. We then respond to those comments, questions and remarks, provide several extensions of the original model and give a tutorial on our R-package EMJMCMC (http://aliaksah.github.io/EMJMCMC2016/)