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


Reference manual: univOutl.pdf


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


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