Package: dobin
Type: Package
Title: Dimension Reduction for Outlier Detection
Version: 1.0.0
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 2019) <doi:10.13140/RG.2.2.15437.18403>. 
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: pracma, FNN
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, OutliersO3, mbgraphic, ggplot2
VignetteBuilder: knitr
Depends: R (>= 3.4.0)
NeedsCompilation: no
Packaged: 2019-09-13 04:54:18 UTC; Sevvandi
Author: Sevvandi Kandanaarachchi [aut, cre]
    (<https://orcid.org/0000-0002-0337-0395>)
Repository: CRAN
Date/Publication: 2019-09-20 08:50:06 UTC
