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univOutl  

Detection of Univariate Outliers
View on CRAN: Click here


Download and install univOutl package within the R console
Install from CRAN:
install.packages("univOutl")

Install from Github:
library("remotes")
install_github("cran/univOutl")

Install by package version:
library("remotes")
install_version("univOutl", "0.4")



Attach the package and use:
library("univOutl")
Maintained by
Marcello D'Orazio
[Scholar Profile | Author Map]
First Published: 2017-06-13
Latest Update: 2022-05-31
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.
How to cite:
Marcello D'Orazio (2017). univOutl: Detection of Univariate Outliers. R package version 0.4, https://cran.r-project.org/web/packages/univOutl. Accessed 30 Apr. 2025.
Previous versions and publish date:
0.1-3 (2017-06-13 23:33), 0.1-4 (2018-01-09 11:45), 0.1-5 (2019-09-27 12:50), 0.2 (2020-04-27 19:40), 0.3 (2021-03-17 10:10)
Other packages that cited univOutl R package
View univOutl citation profile
Other R packages that univOutl depends, imports, suggests or enhances
Complete documentation for univOutl
Functions, R codes and Examples using the univOutl R package
Some associated functions: HBmethod . LocScaleB . boxB . plot4ratios . ratioSize . skew.misc . univOutl-package . 
Some associated R codes: HBmethod.R . LocScaleB.R . boxB.R . plot4ratios.R . ratioSize.R . skew.misc.R .  Full univOutl package functions and examples
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