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Bayesian beta regression with Bayesianbetareg R-package

Listed author(s):
  • Edilberto Cepeda-Cuervo


    (Universidad Nacional de Colombia)

  • Daniel Jaimes


    (Universidad Nacional de Colombia)

  • Margarita Marín


    (Universidad Nacional de Colombia)

  • Javier Rojas


    (Universidad Nacional de Colombia)

Registered author(s):

    Abstract In this paper we summarize the main points of beta regression models under Bayesian perspective, including a presentation of the Bayesianbetareg R-package, used to fit the beta regression models under a Bayesian approach. Finally, beta regression models are fitted to a reading score database using, respectively, the Bayesianbetareg and betareg R-packages for Bayesian and classic perspectives.

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    Article provided by Springer in its journal Computational Statistics.

    Volume (Year): 31 (2016)
    Issue (Month): 1 (March)
    Pages: 165-187

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    Handle: RePEc:spr:compst:v:31:y:2016:i:1:d:10.1007_s00180-015-0591-9
    DOI: 10.1007/s00180-015-0591-9
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    1. Wagner Hugo Bonat & Paulo Justiniano Ribeiro & Walmes Marques Zeviani, 2015. "Likelihood analysis for a class of beta mixed models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(2), pages 252-266, February.
    2. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    3. Patricia Espinheira & Silvia Ferrari & Francisco Cribari-Neto, 2008. "On beta regression residuals," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(4), pages 407-419.
    4. Andréa Rocha & Francisco Cribari-Neto, 2009. "Beta autoregressive moving average models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 18(3), pages 529-545, November.
    5. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
    6. Simas, Alexandre B. & Barreto-Souza, Wagner & Rocha, Andréa V., 2010. "Improved estimators for a general class of beta regression models," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 348-366, February.
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