{ "_id": "6a229108cd65a98ecbd55bc7", "Package": "anomaly", "Type": "Package", "Title": "Detecting Anomalies in Data", "Version": "4.3.3", "Date": "2024-08-19", "Authors@R": "c(person(\"Alex\",\"Fisch\",email=\"a.t.fisch@lancaster.ac.uk\",role=c(\"aut\")),\nperson(\"Daniel\",\"Grose\",email=\"dan.grose@lancaster.ac.uk\",role=c(\"aut\",\"cre\")),\nperson(\"Lawrence\",\"Bardwell\",email=\"l.bardwell@lancaster.ac.uk\",role=c(\"aut\",\"ctb\")),\nperson(\"Idris\",\"Eckley\",email=\"i.eckley@lancaster.ac.uk\",role=c(\"aut\",\"ths\")),\nperson(\"Paul\",\"Fearnhead\",email=\"p.fearnhead@lancaster.ac.uk\",role=c(\"aut\",\"ths\")))", "Description": "Implements Collective And Point Anomaly (CAPA) Fisch,\nEckley, and Fearnhead (2022) ,\nMulti-Variate Collective And Point Anomaly (MVCAPA) Fisch,\nEckley, and Fearnhead (2021)\n, Proportion Adaptive\nSegment Selection (PASS) Jeng, Cai, and Li (2012)\n, and Bayesian Abnormal Region\nDetector (BARD) Bardwell and Fearnhead (2015)\n. These methods are for the detection of\nanomalies in time series data. Further information regarding\nthe use of this package along with detailed examples can be\nfound in Fisch, Grose, Eckley, Fearnhead, and Bardwell (2024)\n.", "License": "GPL", "NeedsCompilation": "yes", "RoxygenNote": "7.3.2", "RdMacros": "Rdpack", "Encoding": "UTF-8", "Collate": "'RcppExports.R' 'anomaly-package.R' 'generics.R' 'bard.R'\n'capa.R' 'data.R' 'pass.R' 'pass.class.R'", "Packaged": { "Date": "2026-06-05 08:59:32 UTC", "User": "root" }, "Author": "Alex Fisch [aut], Daniel Grose [aut, cre], Lawrence Bardwell\n[aut, ctb], Idris Eckley [aut, ths], Paul Fearnhead [aut, ths]", "Maintainer": "Daniel Grose ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2024-08-20 02:49:47 UTC", "RemoteUrl": "https://github.com/cran/anomaly", "RemoteRef": "HEAD", "RemoteSha": "06f55e32e5f517a2335f9884b80a2ce3ffaec1d5", "MD5sum": "50b5387ba3d31d0371a2874274c09c46", "_user": "cran", "_type": "src", "_file": "anomaly_4.3.3.tar.gz", "_fileid": 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