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univOutl: Detection of Univariate Outliers

Well known outlier detection techniques in the univariate case. Methods to deal with skewed distribution are included too. The Hidiroglou-Berthelot (1986) method to search for outliers in ratios of historical data is implemented as well. When available, survey weights can be used in outliers detection.

Version: 0.4
Depends: robustbase, Hmisc
Published: 2022-05-31
DOI: 10.32614/CRAN.package.univOutl
Author: Marcello D'Orazio
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: OfficialStatistics
CRAN checks: univOutl results

Documentation:

Reference manual: univOutl.pdf

Downloads:

Package source: univOutl_0.4.tar.gz
Windows binaries: r-devel: univOutl_0.4.zip, r-release: univOutl_0.4.zip, r-oldrel: univOutl_0.4.zip
macOS binaries: r-release (arm64): univOutl_0.4.tgz, r-oldrel (arm64): univOutl_0.4.tgz, r-release (x86_64): univOutl_0.4.tgz, r-oldrel (x86_64): univOutl_0.4.tgz
Old sources: univOutl archive

Reverse dependencies:

Reverse imports: adamethods

Linking:

Please use the canonical form https://CRAN.R-project.org/package=univOutl to link to this page.

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.
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