Package: robustbetareg 0.3.0

robustbetareg: Robust Beta Regression

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. (2022) <arxiv:2209.11315>.

Authors:Felipe Queiroz [aut, cre], Yuri Maluf [aut], Silvia Ferrari [ctb]

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robustbetareg/json (API)

# Install 'robustbetareg' in R:
install.packages('robustbetareg', repos = c('https://ffqueiroz.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Firm - Firm Cost
  • HIC - Health Insurance Coverage

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 5 scripts 152 downloads 11 exports 25 dependencies

Last updated 2 years agofrom:4fe9bf1d4e. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winNOTENov 08 2024
R-4.5-linuxNOTENov 08 2024
R-4.4-winOKNov 08 2024
R-4.4-macOKNov 08 2024
R-4.3-winOKNov 08 2024
R-4.3-macOKNov 08 2024

Exports:dEGBpEGBplotenvelopepredictqEGBrEGBresidualsrobustbetaregrobustbetareg.controlset.linkwaldtypetest

Dependencies:backportsBBmiscbetaregcheckmatecrayondata.tableDEoptimRdigestflexmixFormulagmplatticelmtestMASSMatrixmiscToolsmodeltoolsnnetnumDerivpracmaRmpfrrobustbaserstudioapisandwichzoo