anomaly
Detecting Anomalies in Data
Implements Collective And Point Anomaly (CAPA) Fisch, Eckley, and Fearnhead (2022) doi:10.1002/sam.11586, Multi-Variate Collective And Point Anomaly (MVCAPA) Fisch, Eckley, and Fearnhead (2021) doi:10.1080/10618600.2021.1987257, Proportion Adaptive Segment Selection (PASS) Jeng, Cai, and Li (2012) doi:10.1093/biomet/ass059, and Bayesian Abnormal Region Detector (BARD) Bardwell and Fearnhead (2015) doi:10.1214/16-BA998. These methods are for the detection of anomalies in time series data. Further information regarding the use of this package along with detailed examples can be found in Fisch, Grose, Eckley, Fearnhead, and Bardwell (2024) doi:10.18637/jss.v110.i01.
- Version4.3.3
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- anomaly citation info
- Last release08/19/2024
Documentation
Team
Daniel Grose
Idris Eckley
Show author detailsRolesAuthor, Thesis advisorPaul Fearnhead
Show author detailsRolesAuthor, Thesis advisorLawrence Bardwell
Show author detailsRolesAuthor, ContributorAlex Fisch
Show author detailsRolesAuthor
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- Imports8 packages
- Suggests1 package
- Linking To2 packages