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univOutl (version 0.5.0)

Detection of Univariate Outliers

Description

Provides well-known techniques for detecting univariate outliers. Methods for handling skewed distributions are included. The Hidiroglou-Berthelot (1986) method for detecting outliers in ratios of historical data is also implemented. When available, survey weights can be incorporated in the detection process.

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Install

install.packages('univOutl')

Monthly Downloads

256

Version

0.5.0

License

GPL (>= 2)

Issues

0

Pull Requests

0

Stars

2

Forks

1

Maintainer

Marcello D'Orazio

Last Published

February 21st, 2026

Functions in univOutl (0.5.0)

boxB

BoxPlot based outlier detection
univOutl-package

Detection of Univariate Outliers.
skew.misc

Calculates some skewness measures.
LocScaleB

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

Hidiroglou-Berthelot procedure for detecting outliers with periodic data
plot4ratios

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

Identifies outliers on ratios and filter them by a size measure