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-any)dobin_1.0.4.zip(r-4.6-any)dobin_1.0.4.zip(r-4.5-any)
dobin_1.0.4.tgz(r-4.6-any)dobin_1.0.4.tgz(r-4.5-any)
dobin_1.0.4.tar.gz(r-4.7-any)dobin_1.0.4.tar.gz(r-4.6-any)
dobin_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
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

3.85 score 13 stars 11 scripts 490 downloads 2 exports 21 dependencies

Last updated from:d2724868b1. Checks:7 WARNING, 1 ERROR, 1 OK. Indexed: yes.

Target	Result	Time
linux-devel	WARNING	137
source / vignettes	ERROR	216
linux-release	WARNING	173
macos-release	WARNING	161
macos-oldrel	WARNING	178
windows-devel	WARNING	73
windows-release	WARNING	80
windows-oldrel	WARNING	90
wasm-release	OK	110