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 |
| macOS binaries: | r-release: RaPKod_0.9.tgz, r-oldrel: RaPKod_0.9.tgz |
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