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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. (2025) <doi:10.1007/s00184-024-00949-1>.

Versions across snapshots

VersionRepositoryFileSize
0.3.1 rolling linux/jammy R-4.5 robustbetareg_0.3.1.tar.gz 223.7 KiB
0.3.1 rolling linux/noble R-4.5 robustbetareg_0.3.1.tar.gz 223.7 KiB
0.3.1 rolling source/ R- robustbetareg_0.3.1.tar.gz 43.5 KiB
0.3.1 latest linux/jammy R-4.5 robustbetareg_0.3.1.tar.gz 223.7 KiB
0.3.1 latest linux/noble R-4.5 robustbetareg_0.3.1.tar.gz 223.7 KiB
0.3.1 latest source/ R- robustbetareg_0.3.1.tar.gz 43.5 KiB
0.3.1 2026-04-26 source/ R- robustbetareg_0.3.1.tar.gz 43.5 KiB
0.3.1 2026-04-23 source/ R- robustbetareg_0.3.1.tar.gz 43.5 KiB
0.3.1 2026-04-09 windows/windows R-4.5 robustbetareg_0.3.1.zip 226.9 KiB
0.3.0 2025-04-20 source/ R- robustbetareg_0.3.0.tar.gz 43.6 KiB

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