anomaly: Detecting Anomalies in Data

Implements Collective And Point Anomaly (CAPA) <arXiv:1806.01947>, Multi-Variate Collective And Point Anomaly (MVCAPA) <arXiv:1909.01691>, and Proportion Adaptive Segment Selection (PASS) <doi:10.1093/biomet/ass059> methods for the detection of anomalies in time series data.

Version: 2.0.2
Depends: R (≥ 2.10)
Imports: dplyr, rlang, methods, assertive, Rdpack, ggplot2, reshape2, Rcpp (≥ 0.12.18), robust
LinkingTo: Rcpp, BH
Suggests: magrittr
Published: 2019-09-19
Author: Alex Fisch [aut], Daniel Grose [aut, cre], Lawrence Bardwell [ctb], Idris Eckley [ths], Paul Fearnhead [ths]
Maintainer: Daniel Grose <dan.grose at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
Citation: anomaly citation info
Materials: README
CRAN checks: anomaly results


Reference manual: anomaly.pdf
Package source: anomaly_2.0.2.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: anomaly_2.0.2.tgz, r-oldrel: anomaly_2.0.2.tgz
Old sources: anomaly archive


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