betareg

R package betareg: Beta Regression. Beta regression for modeling beta-distributed dependent variables, e.g., rates and proportions. In addition to maximum likelihood regression (for both mean and precision of a beta-distributed response), bias-corrected and bias-reduced estimation as well as finite mixture models and recursive partitioning for beta regressions are provided.


References in zbMATH (referenced in 30 articles , 1 standard article )

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  1. Lemonte, Artur J.; Moreno-Arenas, Germán: On a heavy-tailed parametric quantile regression model for limited range response variables (2020)
  2. Alfó, Marco; Nieddu, Luciano; Vitiello, Cecilia: Cluster weighted beta regression: a simulation study (2019)
  3. David Smith; Malcolm Faddy: Mean and Variance Modeling of Under-Dispersed and Over-Dispersed Grouped Binary Data (2019) not zbMATH
  4. Di Caterina, Claudia; Kosmidis, Ioannis: Location-adjusted Wald statistics for scalar parameters (2019)
  5. Lemonte, Artur J.; Moreno-Arenas, Germán: On residuals in generalized Johnson (S_B) regressions (2019)
  6. Muñoz-Pichardo, J. M.; Moreno-Rebollo, J. L.; Pino-Mejías, R.; de la Vega, M. D. Cubiles: Influence measures in beta regression models through distance between distributions (2019)
  7. Quijano Xacur, Oscar Alberto: The unifed distribution (2019)
  8. Yiyun Shou and Michael Smithson: cdfquantreg: An R Package for CDF-Quantile Regression (2019) not zbMATH
  9. Da Silva, Eveliny Barroso; Diniz, Carlos Alberto Ribeiro; Carrasco, Jalmar Manuel Farfan; De Castro, Mário: A class of beta regression models with multiplicative log-normal measurement errors (2018)
  10. Abdel-Karim, Amany Hassan: Extended zero-one inflated beta and adjusted three-part regression models for proportional data analysis (2017)
  11. Rafael Moral; John Hinde; Clarice Demétrio: Half-Normal Plots and Overdispersed Models in R: The hnp Package (2017) not zbMATH
  12. Cepeda-Cuervo, Edilberto; Jaimes, Daniel; Marín, Margarita; Rojas, Javier: Bayesian beta regression with Bayesianbetareg R-package (2016)
  13. Iannario, Maria; Piccolo, Domenico: A comprehensive framework of regression models for ordinal data (2016)
  14. Irvine, Kathryn M.; Rodhouse, T. J.; Keren, Ilai N.: Extending ordinal regression with a latent zero-augmented beta distribution (2016)
  15. Jodrá, P.; Jiménez-Gamero, M. D.: A note on the log-Lindley distribution (2016)
  16. Bonat, Wagner Hugo; Ribeiro, Paulo Justiniano jun.; Shimakura, Silvia Emiko: Bayesian analysis for a class of beta mixed models (2015)
  17. Fang Liu; Yunchuan Kong: zoib: An R Package for Bayesian Inference for Beta Regression andZero/One Inflated Beta Regression (2015) not zbMATH
  18. Shou, Yiyun; Smithson, Michael: Evaluating predictors of dispersion: a comparison of dominance analysis and Bayesian model averaging (2015)
  19. Anholeto, Tatiana; Sandoval, Mônica C.; Botter, Denise A.: Adjusted Pearson residuals in beta regression models (2014)
  20. Cribari-Neto, Francisco; Queiroz, Marcela P. F.: On testing inference in beta regressions (2014)

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