A GUIded tour of Bayesian regression

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.

Andrés Ramírez–Hassan , Mateo Graciano-Londoño

CRAN packages used


CRAN Task Views implied by cited packages


Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".


For attribution, please cite this work as

Ramírez–Hassan & Graciano-Londoño, "The R Journal: A GUIded tour of Bayesian regression", The R Journal, 2021

BibTeX citation

  author = {Ramírez–Hassan, Andrés and Graciano-Londoño, Mateo},
  title = {The R Journal: 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}