dobin: Dimension Reduction for Outlier Detection

A dimension reduction technique for outlier detection. DOBIN: a Distance based Outlier BasIs using Neighbours, constructs a set of basis vectors for outlier detection. This is not an outlier detection method; rather it is a pre-processing method for outlier detection. It brings outliers to the fore-front using fewer basis vectors (Kandanaarachchi, Hyndman 2019) <doi:10.13140/RG.2.2.15437.18403>.

Version: 1.0.0
Depends: R (≥ 3.4.0)
Imports: pracma, FNN
Suggests: knitr, rmarkdown, OutliersO3, mbgraphic, ggplot2
Published: 2019-09-20
Author: Sevvandi Kandanaarachchi ORCID iD [aut, cre]
Maintainer: Sevvandi Kandanaarachchi <sevvandik at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: dobin results

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Reference manual: dobin.pdf
Vignettes: Introduction to dobin
Package source: dobin_1.0.0.tar.gz
Windows binaries: r-devel: dobin_1.0.0.zip, r-release: dobin_1.0.0.zip, r-oldrel: dobin_1.0.0.zip
OS X binaries: r-release: dobin_1.0.0.tgz, r-oldrel: dobin_1.0.0.tgz

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