Package: dobin
Type: Package
Title: Dimension Reduction for Outlier Detection
Version: 1.0.4
Authors@R: person("Sevvandi", "Kandanaarachchi", email = "sevvandik@gmail.com",
  role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0337-0395"))
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>
Description: 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>. 
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dbscan, ggplot2, pracma
RoxygenNote: 7.2.1
Suggests: knitr, rmarkdown, OutliersO3, FNN
VignetteBuilder: knitr
Depends: R (>= 3.4.0)
URL: https://sevvandi.github.io/dobin/
NeedsCompilation: no
Packaged: 2022-08-25 22:03:32 UTC; kan092
Author: Sevvandi Kandanaarachchi [aut, cre]
    (<https://orcid.org/0000-0002-0337-0395>)
Repository: CRAN
Date/Publication: 2022-08-25 22:52:33 UTC
Built: R 4.6.0; ; 2026-04-26 07:01:37 UTC; unix
