Detection of Univariate Outliers R package univOutl version 0.5.0 CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection) CRAN Task View: OfficialStatistics (https://CRAN.R-project.org/view=OfficialStatistics) Provides well-known techniques for detecting univariate outliers. Methods for handling skewed distributions are included. The Hidiroglou-Berthelot (1986) method for detecting outliers in ratios of historical data is also implemented. When available, survey weights can be incorporated in the detection process. Software Depends: R (>= 3.6.0) Imports: robustbase, Hmisc Marcello D'Orazio <mdo.statmatch@gmail.com> Comprehensive R Archive Network (CRAN) Marcello D'Orazio [aut, cre] GPL (>= 2) 2026-02-21 application/tgz https://CRAN.R-project.org/package=univOutl doi:10.32614/CRAN.package.univOutl