Tutorial: Bayesian Regression in R (using brms)

This tutorial provides the reader with a basic tutorial on how to perform a Bayesian regression in brms, using Stan instead of as the MCMC sampler. Throughout this tutorial, the reader will be guided through importing data files, exploring summary statistics and regression analyses. Here, we will ex...

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Main Authors: Smeets, Laurent, van de Schoot, Rens
Format: Article in Journal/Newspaper
Language:English
Published: Zenodo 2019
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.5275197
https://zenodo.org/record/5275197
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author Smeets, Laurent
van de Schoot, Rens
author_facet Smeets, Laurent
van de Schoot, Rens
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description This tutorial provides the reader with a basic tutorial on how to perform a Bayesian regression in brms, using Stan instead of as the MCMC sampler. Throughout this tutorial, the reader will be guided through importing data files, exploring summary statistics and regression analyses. Here, we will exclusively focus on Bayesian statistics. : Since we continuously improve the tutorials, let us know via Github (https://github.com/Rensvandeschoot/Tutorials) if you discover mistakes, or if you have additional resources we can refer to. : {"references": ["Benjamin, D. J., Berger, J., Johannesson, M., Nosek, B. A., Wagenmakers, E.,\u2026 Johnson, V. (2017, July 22). Redefine statistical significance. Retrieved from psyarxiv.com/mky9j", "Greenland, S., Senn, S. J., Rothman, K. J., Carlin, J. B., Poole, C., Goodman, S. N. Altman, D. G. (2016). Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations. European Journal of Epidemiology 31 (4). https://doi.org/10.1007/s10654-016-0149-3", "Hoffman, M. D., & Gelman, A. (2014). The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. Journal of Machine Learning Research, 15(1), 1593-1623.", "van de Schoot R, Yerkes MA, Mouw JM, Sonneveld H (2013) What Took Them So Long? Explaining PhD Delays among Doctoral Candidates. PLoS ONE 8(7): e68839. https://doi.org/10.1371/journal.pone.0068839", "Trafimow D, Amrhein V, Areshenkoff CN, Barrera-Causil C, Beh EJ, Bilgi? Y, Bono R, Bradley MT, Briggs WM, Cepeda-Freyre HA, Chaigneau SE, Ciocca DR, Carlos Correa J, Cousineau D, de Boer MR, Dhar SS, Dolgov I, G?mez-Benito J, Grendar M, Grice J, Guerrero-Gimenez ME, Guti?rrez A, Huedo-Medina TB, Jaffe K, Janyan A, Karimnezhad A, Korner-Nievergelt F, Kosugi K, Lachmair M, Ledesma R, Limongi R, Liuzza MT, Lombardo R, Marks M, Meinlschmidt G, Nalborczyk L, Nguyen HT, Ospina R, Perezgonzalez JD, Pfister R, Rahona JJ, Rodr?guez-Medina DA, Rom?o X, Ruiz-Fern?ndez S, Suarez I, Tegethoff M, Tejo M, ** van de Schoot R** , Vankov I, Velasco-Forero S, Wang T, Yamada Y, Zoppino FC, Marmolejo-Ramos F. (2017) Manipulating the alpha level cannot cure significance testing \u2013 comments on \"Redefine statistical significance\" PeerJ reprints 5:e3411v1 https://doi.org/10.7287/peerj.preprints.3411v1"]}
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spelling ftdatacite:10.5281/zenodo.5275197 2025-01-16T22:14:02+00:00 Tutorial: Bayesian Regression in R (using brms) Smeets, Laurent van de Schoot, Rens 2019 https://dx.doi.org/10.5281/zenodo.5275197 https://zenodo.org/record/5275197 en eng Zenodo https://zenodo.org/communities/stats_training https://dx.doi.org/10.5281/zenodo.3962123 https://dx.doi.org/10.5281/zenodo.5275196 https://zenodo.org/communities/stats_training Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY R tutorial methodology statistics psychology behavioral science biomedical science social science data analysis CreativeWork article InteractiveResource 2019 ftdatacite https://doi.org/10.5281/zenodo.5275197 https://doi.org/10.5281/zenodo.3962123 https://doi.org/10.5281/zenodo.5275196 2021-11-05T12:55:41Z This tutorial provides the reader with a basic tutorial on how to perform a Bayesian regression in brms, using Stan instead of as the MCMC sampler. Throughout this tutorial, the reader will be guided through importing data files, exploring summary statistics and regression analyses. Here, we will exclusively focus on Bayesian statistics. : Since we continuously improve the tutorials, let us know via Github (https://github.com/Rensvandeschoot/Tutorials) if you discover mistakes, or if you have additional resources we can refer to. : {"references": ["Benjamin, D. J., Berger, J., Johannesson, M., Nosek, B. A., Wagenmakers, E.,\u2026 Johnson, V. (2017, July 22). Redefine statistical significance. Retrieved from psyarxiv.com/mky9j", "Greenland, S., Senn, S. J., Rothman, K. J., Carlin, J. B., Poole, C., Goodman, S. N. Altman, D. G. (2016). Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations. European Journal of Epidemiology 31 (4). https://doi.org/10.1007/s10654-016-0149-3", "Hoffman, M. D., & Gelman, A. (2014). The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. Journal of Machine Learning Research, 15(1), 1593-1623.", "van de Schoot R, Yerkes MA, Mouw JM, Sonneveld H (2013) What Took Them So Long? Explaining PhD Delays among Doctoral Candidates. PLoS ONE 8(7): e68839. https://doi.org/10.1371/journal.pone.0068839", "Trafimow D, Amrhein V, Areshenkoff CN, Barrera-Causil C, Beh EJ, Bilgi? Y, Bono R, Bradley MT, Briggs WM, Cepeda-Freyre HA, Chaigneau SE, Ciocca DR, Carlos Correa J, Cousineau D, de Boer MR, Dhar SS, Dolgov I, G?mez-Benito J, Grendar M, Grice J, Guerrero-Gimenez ME, Guti?rrez A, Huedo-Medina TB, Jaffe K, Janyan A, Karimnezhad A, Korner-Nievergelt F, Kosugi K, Lachmair M, Ledesma R, Limongi R, Liuzza MT, Lombardo R, Marks M, Meinlschmidt G, Nalborczyk L, Nguyen HT, Ospina R, Perezgonzalez JD, Pfister R, Rahona JJ, Rodr?guez-Medina DA, Rom?o X, Ruiz-Fern?ndez S, Suarez I, Tegethoff M, Tejo M, ** van de Schoot R** , Vankov I, Velasco-Forero S, Wang T, Yamada Y, Zoppino FC, Marmolejo-Ramos F. (2017) Manipulating the alpha level cannot cure significance testing \u2013 comments on \"Redefine statistical significance\" PeerJ reprints 5:e3411v1 https://doi.org/10.7287/peerj.preprints.3411v1"]} Article in Journal/Newspaper Greenland DataCite Briggs ENVELOPE(-63.017,-63.017,-64.517,-64.517) Chaigneau ENVELOPE(-63.700,-63.700,-66.317,-66.317) Correa ENVELOPE(-61.500,-61.500,-64.400,-64.400) Goodman ENVELOPE(-72.232,-72.232,-75.240,-75.240) Greenland Medina ENVELOPE(-66.233,-66.233,-68.453,-68.453) Ramos ENVELOPE(-59.700,-59.700,-62.500,-62.500) Suarez ENVELOPE(-145.700,-145.700,-86.450,-86.450)
spellingShingle R
tutorial
methodology
statistics
psychology
behavioral science
biomedical science
social science
data analysis
Smeets, Laurent
van de Schoot, Rens
Tutorial: Bayesian Regression in R (using brms)
title Tutorial: Bayesian Regression in R (using brms)
title_full Tutorial: Bayesian Regression in R (using brms)
title_fullStr Tutorial: Bayesian Regression in R (using brms)
title_full_unstemmed Tutorial: Bayesian Regression in R (using brms)
title_short Tutorial: Bayesian Regression in R (using brms)
title_sort tutorial: bayesian regression in r (using brms)
topic R
tutorial
methodology
statistics
psychology
behavioral science
biomedical science
social science
data analysis
topic_facet R
tutorial
methodology
statistics
psychology
behavioral science
biomedical science
social science
data analysis
url https://dx.doi.org/10.5281/zenodo.5275197
https://zenodo.org/record/5275197