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Routliers  

Robust Outliers Detection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Routliers", "0.0.0.3")



Attach the package and use:
library("Routliers")
Maintained by
Marie Delacre
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-28
Latest Update: 2019-05-23
Description:
Detecting outliers using robust methods, i.e. the Median Absolute Deviation (MAD) for univariate outliers; Leys, Ley, Klein, Bernard, & Licata (2013) and the Mahalanobis-Minimum Covariance Determinant (MMCD) for multivariate outliers; Leys, C., Klein, O., Dominicy, Y. & Ley, C. (2018) . There is also the more known but less robust Mahalanobis distance method, only for comparison purposes.
How to cite:
Marie Delacre (2019). Routliers: Robust Outliers Detection. R package version 0.0.0.3, https://cran.r-project.org/web/packages/Routliers. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.0.0.1 (2019-04-28 10:50), 0.0.0.2 (2019-05-22 16:10)
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Complete documentation for Routliers
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