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 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_2.0.2.tar.gz |
| Windows binaries: | r-devel: anomaly_2.0.2.zip, r-devel-gcc8: anomaly_2.0.2.zip, r-release: anomaly_2.0.2.zip, r-oldrel: anomaly_2.0.2.zip |
| 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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