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: 2026-06-08 08:48:55 UTC; root
Config/pak/sysreqs: libgmp3-dev libmpfr-dev
Repository: https://ffqueiroz.r-universe.dev
Date/Publication: 2025-07-24 13:10:02 UTC
RemoteUrl: https://github.com/cran/robustbetareg
RemoteRef: HEAD
RemoteSha: d3172ee3d5457977df1e78d8b859180aebab1e77