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SMLoutliers
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.SMLoutliers . SMLoutliers results . SMLoutliers.pdf . SMLoutliers_0.1.tar.gz . SMLoutliers_0.1.zip . SMLoutliers_0.1.zip . SMLoutliers_0.1.zip . SMLoutliers_0.1.tgz . SMLoutliers_0.1.tgz . SMLoutliers_0.1.tgz . SMLoutliers_0.1.tgz . https://CRAN.R-project.org/package=SMLoutliers .
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 23 Apr. 2025.
Previous versions and publish date:
No previous versions
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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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