A GUIded tour of Bayesian regression

Abstract:

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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Published

Sept. 19, 2021

Received

Jun 3, 2020

DOI

10.32614/RJ-2021-081

Volume

Pages

13/2

135 - 152

CRAN packages used

shinystan

CRAN Task Views implied by cited packages

Footnotes

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    Citation

    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

    @article{RJ-2021-081,
      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}
    }