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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.
| Version: | 0.5.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | robustbase, Hmisc |
| Published: | 2026-02-21 |
| DOI: | 10.32614/CRAN.package.univOutl |
| Author: | Marcello D'Orazio [aut, cre] |
| Maintainer: | Marcello D'Orazio <mdo.statmatch at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/marcellodo/univOutl |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | AnomalyDetection, OfficialStatistics |
| CRAN checks: | univOutl results |
| Reference manual: | univOutl.html , univOutl.pdf |
| Package source: | univOutl_0.5.0.tar.gz |
| Windows binaries: | r-devel: univOutl_0.4.zip, r-release: univOutl_0.5.0.zip, r-oldrel: univOutl_0.4.zip |
| macOS binaries: | r-release (arm64): univOutl_0.5.0.tgz, r-oldrel (arm64): univOutl_0.5.0.tgz, r-release (x86_64): univOutl_0.4.tgz, r-oldrel (x86_64): univOutl_0.4.tgz |
| Old sources: | univOutl archive |
| Reverse imports: | adamethods |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.