SMLoutliers: Outlier Detection Using Statistical and Machine Learning Methods

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>.

Version:	0.1
Published:	2017-02-06
Author:	Siddharth Jain and Prabhanjan Tattar
Maintainer:	Siddharth Jain <siddharthjain242 at gmail.com>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	SMLoutliers results

Documentation:

Reference manual:

SMLoutliers.pdf

Downloads:

Package source:	SMLoutliers_0.1.tar.gz
Windows binaries:	r-devel: SMLoutliers_0.1.zip, r-release: SMLoutliers_0.1.zip, r-oldrel: SMLoutliers_0.1.zip
macOS binaries:	r-release (arm64): SMLoutliers_0.1.tgz, r-oldrel (arm64): SMLoutliers_0.1.tgz, r-release (x86_64): SMLoutliers_0.1.tgz, r-oldrel (x86_64): SMLoutliers_0.1.tgz

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