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ICSOutlier  

Outlier Detection Using Invariant Coordinate Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ICSOutlier", "0.4-0")



Attach the package and use:
library("ICSOutlier")
Maintained by
Klaus Nordhausen
[Scholar Profile | Author Map]
First Published: 2016-12-20
Latest Update: 2018-02-02
Description:
Multivariate outlier detection is performed using invariant coordinates where the package offers different methods to choose the appropriate components. ICS is a general multivariate technique with many applications in multivariate analysis. ICSOutlier offers a selection of functions for automated detection of outliers in the data based on a fitted ICS object or by specifying the dataset and the scatters of interest. The current implementation targets data sets with only a small percentage of outliers.
How to cite:
Klaus Nordhausen (2016). ICSOutlier: Outlier Detection Using Invariant Coordinate Selection. R package version 0.4-0, https://cran.r-project.org/web/packages/ICSOutlier. Accessed 04 Apr. 2025.
Previous versions and publish date:
0.2-0 (2016-12-20 13:02), 0.3-0 (2018-02-03 00:07), 0.3-1 (2023-09-18 11:30)
Other packages that cited ICSOutlier R package
View ICSOutlier citation profile
Other R packages that ICSOutlier depends, imports, suggests or enhances
Complete documentation for ICSOutlier
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