To cite the betaARMA package in publications, please use:

da Costa E, Cribari-Neto F, Scher V (2026). betaARMA: Beta Autoregressive Moving Average Models. R package version 1.2.0, https://CRAN.R-project.org/package=betaARMA.

If you use ridge penalization (penalty = TRUE), please also cite:

Cribari-Neto F, da Costa E, Fonseca R (2025). “Numerical stability enhancements in beta autoregressive moving average model estimation.” Brazilian Journal of Probability and Statistics, 39(4), 410–437. doi:10.1214/25-BJPS645.

If you use link function selection or hypothesis testing procedures, please also cite:

da Costa E, Cribari-Neto F, Scher V (2024). “Test inferences and link function selection in dynamic beta modeling of seasonal hydro-environmental time series with temporary abnormal regimes.” Journal of Hydrology, 638, 131489. doi:10.1016/j.jhydrol.2024.131489.

Corresponding BibTeX entries:

  @Manual{,
    title = {betaARMA: Beta Autoregressive Moving Average Models},
    author = {Everton {da Costa} and Francisco Cribari-Neto and
      Vinicius T. Scher},
    year = {2026},
    note = {R package version 1.2.0},
    url = {https://CRAN.R-project.org/package=betaARMA},
  }

  @Article{,
    title = {Numerical stability enhancements in beta autoregressive
      moving average model estimation},
    author = {Francisco Cribari-Neto and Everton {da Costa} and Rodney
      V. Fonseca},
    journal = {Brazilian Journal of Probability and Statistics},
    year = {2025},
    volume = {39},
    number = {4},
    pages = {410--437},
    doi = {10.1214/25-BJPS645},
  }

  @Article{,
    title = {Test inferences and link function selection in dynamic
      beta modeling of seasonal hydro-environmental time series with
      temporary abnormal regimes},
    author = {Everton {da Costa} and Francisco Cribari-Neto and
      Vinicius T. Scher},
    journal = {Journal of Hydrology},
    year = {2024},
    volume = {638},
    pages = {131489},
    doi = {10.1016/j.jhydrol.2024.131489},
  }