Implements Collective And Point Anomaly (CAPA) <arXiv:1806.01947>, Multi-Variate Collective And Point Anomaly (MVCAPA) <arXiv:1909.01691>, Proportion Adaptive Segment Selection (PASS) <doi:10.1093/biomet/ass059>, and Bayesian Abnormal Region Detector (BARD) <doi:10.1214/16-BA998> methods for the detection of anomalies in time series data.
Version: | 3.0.1 |
Depends: | R (≥ 3.5.0) |
Imports: | dplyr, rlang, methods, assertive, Rdpack, ggplot2, reshape2, Rcpp (≥ 0.12.18), robustbase, cowplot |
LinkingTo: | Rcpp, BH |
Suggests: | magrittr |
Published: | 2020-04-06 |
Author: | Alex Fisch [aut], Daniel Grose [aut, cre], Lawrence Bardwell [ctb], Idris Eckley [ths], Paul Fearnhead [ths] |
Maintainer: | Daniel Grose <dan.grose at lancaster.ac.uk> |
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_3.0.1.tar.gz |
Windows binaries: | r-devel: anomaly_3.0.1.zip, r-release: anomaly_3.0.1.zip, r-oldrel: anomaly_3.0.1.zip |
macOS binaries: | r-release: anomaly_3.0.1.tgz, r-oldrel: anomaly_3.0.1.tgz |
Old sources: | anomaly archive |
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