This paper presents a Graphical User Interface (GUI) to carry out a Bayesian regression analysis in a very friendly environment without any programming skills (drag and drop). This paper is designed for teaching and applied purposes at an introductory level. Our GUI is based on an interactive web application using shiny and libraries from R. We carry out some applications to highlight the potential of our GUI for applied researchers and practitioners. In addition, the Help option in the main tap panel has an extended version of this paper, where we present the basic theory underlying all regression models that we developed in our GUI and more applications associated with each model.
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For attribution, please cite this work as
Ramírez–Hassan & Graciano-Londoño, "A GUIded tour of Bayesian regression", The R Journal, 2021
BibTeX citation
@article{RJ-2021-081,
author = {Ramírez–Hassan, Andrés and Graciano-Londoño, Mateo},
title = {A GUIded tour of Bayesian regression},
journal = {The R Journal},
year = {2021},
note = {https://doi.org/10.32614/RJ-2021-081},
doi = {10.32614/RJ-2021-081},
volume = {13},
issue = {2},
issn = {2073-4859},
pages = {135-152}
}