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: 0.1-4
Depends: robustbase, Hmisc
Published: 2018-01-09
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

Downloads:

Reference manual: univOutl.pdf
Package source: univOutl_0.1-4.tar.gz
Windows binaries: r-devel: univOutl_0.1-4.zip, r-release: univOutl_0.1-4.zip, r-oldrel: univOutl_0.1-4.zip
OS X El Capitan binaries: r-release: univOutl_0.1-4.tgz
OS X Mavericks binaries: r-oldrel: univOutl_0.1-4.tgz
Old sources: univOutl archive

Linking:

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