Package: dobin 1.0.4

Sevvandi Kandanaarachchi

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 2020) <doi:10.1080/10618600.2020.1807353>.

Authors:Sevvandi Kandanaarachchi [aut, cre]

dobin_1.0.4.tar.gz
dobin_1.0.4.zip(r-4.7)dobin_1.0.4.zip(r-4.6)dobin_1.0.4.zip(r-4.5)
dobin_1.0.4.tgz(r-4.6-any)dobin_1.0.4.tgz(r-4.5-any)
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dobin_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
dobin/json (API)

# Install 'dobin' in R:

install.packages('dobin', repos = c('https://sevvandi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sevvandi/dobin/issues

Pkgdown/docs site:https://sevvandi.github.io

On CRAN:

detection dimension outlier reduction

4.89 score 13 stars 12 scripts 205 downloads 2 exports 21 dependencies

Last updated from:d2724868b1. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	158
source / vignettes	OK	283
linux-release-x86_64	OK	156
macos-release-arm64	OK	123
macos-oldrel-arm64	OK	90
windows-devel	OK	117
windows-release	OK	103
windows-oldrel	OK	118
wasm-release	OK	133