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RMSDp  

Refined Modified Stahel-Donoho (MSD) Estimators for Outlier Detection (Parallel Version)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RMSDp", "0.1.1")



Attach the package and use:
library("RMSDp")
Maintained by
Kazumi Wada
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-16
Latest Update: 2024-06-12
Description:
A parallel function for multivariate outlier detection named modified Stahel-Donoho estimators is contained in this package. The function RMSDp() is for elliptically distributed datasets and recognizes outliers based on Mahalanobis distance. This function is for higher dimensional datasets that cannot be handled by a single core function RMSD() included in 'RMSD' package. See Wada and Tsubaki (2013) for the detail of the algorithm.
How to cite:
Kazumi Wada (2023). RMSDp: Refined Modified Stahel-Donoho (MSD) Estimators for Outlier Detection (Parallel Version). R package version 0.1.1, https://cran.r-project.org/web/packages/RMSDp. Accessed 21 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:19), 0.1.0 (2023-11-16 21:34)
Other packages that cited RMSDp R package
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Complete documentation for RMSDp
Functions, R codes and Examples using the RMSDp R package
Full RMSDp package functions and examples
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