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SMLoutliers  

Outlier Detection Using Statistical and Machine Learning Methods
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SMLoutliers", "0.1")



Attach the package and use:
library("SMLoutliers")
Maintained by
Siddharth Jain
[Scholar Profile | Author Map]
First Published: 2017-02-06
Latest Update: 2017-02-06
Description:
Local Correlation Integral (LOCI) method for outlier identification is implemented here. The LOCI method developed here is invented in Breunig, et al. (2000), see <doi:10.1145/342009.335388>.
How to cite:
Siddharth Jain (2017). SMLoutliers: Outlier Detection Using Statistical and Machine Learning Methods. R package version 0.1, https://cran.r-project.org/web/packages/SMLoutliers. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited SMLoutliers R package
View SMLoutliers citation profile
Other R packages that SMLoutliers depends, imports, suggests or enhances
Complete documentation for SMLoutliers
Functions, R codes and Examples using the SMLoutliers R package
Some associated functions: LOCI . SMLoutliers-package . stiff . 
Some associated R codes: LOCI.R .  Full SMLoutliers package functions and examples
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