anomalyDetection: Implementation of Augmented Network Log Anomaly Detection Procedures

Implements procedures developed by Gutierrez et al. (2017, <>) to aid in detecting network log anomalies. By combining various multivariate analytic approaches relevant to network anomaly detection, it provides cyber analysts efficient means to detect suspected anomalies requiring further evaluation.

Version: 0.2.5
Depends: R (≥ 2.10)
Imports: caret, dplyr, ggplot2, gmp, magrittr, MASS, plyr, purrr, Rcpp (≥ 0.12.11), stats, tibble, tidyr
LinkingTo: Rcpp, RcppArmadillo
Suggests: gplots, knitr, RColorBrewer, rmarkdown, testthat
Published: 2018-03-07
Author: Bradley Boehmke [aut, cre], Brandon Greenwell [aut], Jason Freels [aut], Robert Gutierrez [aut]
Maintainer: Bradley Boehmke <bradleyboehmke at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: anomalyDetection results


Reference manual: anomalyDetection.pdf
Vignettes: Introduction
Package source: anomalyDetection_0.2.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: anomalyDetection_0.2.5.tgz
OS X Mavericks binaries: r-oldrel: anomalyDetection_0.2.4.tgz
Old sources: anomalyDetection archive


Please use the canonical form to link to this page.