univOutl: Detection of Univariate Outliers

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

Documentation:

Reference manual:

univOutl.html , univOutl.pdf

Downloads:

Package source:	univOutl_0.5.0.tar.gz
Windows binaries:	r-devel: univOutl_0.5.0.zip, r-release: univOutl_0.5.0.zip, r-oldrel: univOutl_0.5.0.zip
macOS binaries:	r-release (arm64): univOutl_0.5.0.tgz, r-oldrel (arm64): univOutl_0.5.0.tgz, r-release (x86_64): univOutl_0.5.0.tgz, r-oldrel (x86_64): univOutl_0.5.0.tgz
Old sources:	univOutl archive

Reverse dependencies:

Reverse imports:

adamethods

Linking:

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