[aut, cre]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>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | pracma, FNN |
| Suggests: | knitr, rmarkdown, OutliersO3, mbgraphic, ggplot2 |
| Published: | 2019-09-20 |
| Author: | Sevvandi Kandanaarachchi
[aut, cre] |
| Maintainer: | Sevvandi Kandanaarachchi <sevvandik at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | dobin results |
| Reference manual: | dobin.pdf |
| Vignettes: |
Introduction to dobin |
| Package source: | dobin_1.0.0.tar.gz |
| Windows binaries: | r-devel: dobin_1.0.0.zip, r-devel-gcc8: dobin_1.0.0.zip, r-release: dobin_1.0.0.zip, r-oldrel: dobin_1.0.0.zip |
| OS X binaries: | r-release: dobin_1.0.0.tgz, r-oldrel: dobin_1.0.0.tgz |
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