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: 1.0.2
Depends: R (≥ 3.4.0)
Imports: pracma, RANN
Suggests: knitr, rmarkdown, OutliersO3, ggplot2, FNN
Published: 2020-02-24
Author: Sevvandi Kandanaarachchi ORCID iD [aut, cre]
Maintainer: Sevvandi Kandanaarachchi <sevvandik at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: dobin results


Reference manual: dobin.pdf
Vignettes: Introduction to dobin


Package source: dobin_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): dobin_1.0.2.tgz, r-release (x86_64): dobin_1.0.2.tgz, r-oldrel: dobin_1.0.2.tgz
Old sources: dobin archive

Reverse dependencies:

Reverse imports: composits


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