univOutl (0.1-4)

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Detection of Univariate Outliers.

https://github.com/marcellodo/univOutl
http://cran.r-project.org/web/packages/univOutl

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.

Maintainer: Marcello D'Orazio
Author(s): Marcello D'Orazio

License: GPL (>= 2)

Uses: Hmisc, robustbase

Released about 1 year ago.


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Related packages: Amelia, Hmisc, MatchIt, cat, foreign, ineq, lme4, memisc, mice, mitools, mix, nlme, norm, pan, pps, reweight, sampling, sdcMicro, spsurvey, survey(20 best matches, based on common tags.)


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