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
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dobin.pdf |dobin.html
dobin/json (API)

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

Peer review:

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

On CRAN:

detectiondimensionoutlierreduction

4.81 score 13 stars 8 scripts 203 downloads 2 exports 32 dependencies

Last updated 2 years agofrom:d2724868b1. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 21 2024
R-4.5-winOKOct 21 2024
R-4.5-linuxOKOct 21 2024
R-4.4-winOKOct 21 2024
R-4.4-macOKOct 21 2024
R-4.3-winOKOct 21 2024
R-4.3-macOKOct 21 2024

Exports:autoplotdobin

Dependencies:clicolorspacedbscanfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpracmaR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr

Introduction to dobin

Rendered fromdobin.Rmdusingknitr::rmarkdownon Oct 21 2024.

Last update: 2022-05-18
Started: 2019-09-05