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univOutl (version 0.4)

Detection of Univariate Outliers

Description

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.

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Install

install.packages('univOutl')

Monthly Downloads

366

Version

0.4

License

GPL (>= 2)

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Maintainer

Marcello D'Orazio

Last Published

May 31st, 2022

Functions in univOutl (0.4)

skew.misc

Calculates some skewness measures.
ratioSize

Identifies outliers on ratios and filter them by a size measure
boxB

BoxPlot based outlier detection
plot4ratios

Draws a scatter-plot that summarizes the findings of the Hidiroglou-Berthelot outliers' or the ratioSize detection method.
LocScaleB

Univariate outlier detection with bounds based on robust location and scale estimates
HBmethod

Hidiroglou-Berthelot procedure for detecting outliers with periodic data
univOutl-package

Detection of Univariate Outliers.