Version: 0.3.1
Package: robustbetareg
Title: Robust Beta Regression
Authors@R: c(
  person("Felipe", "Queiroz", email = "ffelipeq@outlook.com", role = c("aut", "cre")),
  person("Yuri", "Maluf", email = "yurimaluf@gmail.com", role = c("aut")),
  person("Silvia", "Ferrari", email = "silviaferrari@usp.br", role = "ctb"))
Author: Felipe Queiroz [aut, cre],
  Yuri Maluf [aut],
  Silvia Ferrari [ctb]
Maintainer: Felipe Queiroz <ffelipeq@outlook.com>
Description: Robust estimators for the beta regression, useful for modeling 
  bounded continuous data. Currently, four types of robust estimators are supported. 
  They depend on a tuning constant which may be fixed or selected by a 
  data-driven algorithm also implemented in the package. Diagnostic tools 
  associated with the fitted model, such as the residuals and goodness-of-fit 
  statistics, are implemented. Robust Wald-type tests are available. More details
  about robust beta regression are described in Maluf et al. (2025) 
  <doi:10.1007/s00184-024-00949-1>.
Depends: R (>= 3.5.0), betareg
Imports: Rmpfr, rstudioapi, crayon, pracma, numDeriv, Formula,
        robustbase, zoo, methods, graphics, BBmisc, MASS, miscTools,
        Matrix
License: GPL-3
NeedsCompilation: no
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Suggests: covr, testthat (>= 3.0.0)
Config/testthat/edition: 3
Packaged: 2025-07-24 12:27:02 UTC; franc
Repository: CRAN
Date/Publication: 2025-07-24 13:10:02 UTC
Built: R 4.6.0; ; 2026-04-26 01:48:25 UTC; unix
