RaPKod: Random Projection Kernel Outlier Detector

Kernel method that performs online outlier detection through random low-dimensional projections in a kernel space. Controls the probability of false alarm error. See Kellner J., "Gaussian models and kernel methods" (2016), PhD thesis for reference <https://ori-nuxeo.univ-lille1.fr/nuxeo/site/esupversions/789d119a-6763-4205-972f-b318cd4fdb27>.

Version: 0.9
Depends: proxy, kernlab, MASS
Imports: Rcpp (≥ 0.12.15)
LinkingTo: Rcpp, RcppArmadillo
Published: 2018-02-05
Author: Jeremie Kellner
Maintainer: Jeremie Kellner <jeremie.kellner at ed.univ-lille1.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: yes
CRAN checks: RaPKod results


Reference manual: RaPKod.pdf
Package source: RaPKod_0.9.tar.gz
Windows binaries: r-devel: RaPKod_0.9.zip, r-release: RaPKod_0.9.zip, r-oldrel: RaPKod_0.9.zip
OS X binaries: r-release: RaPKod_0.9.tgz, r-oldrel: RaPKod_0.9.tgz


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