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")), person("Daniel","Grose",email="dan.grose@lancaster.ac.uk",role=c("aut","cre")), person("Lawrence","Bardwell",email="l.bardwell@lancaster.ac.uk",role=c("aut","ctb")), person("Idris","Eckley",email="i.eckley@lancaster.ac.uk",role=c("aut","ths")), person("Paul","Fearnhead",email="p.fearnhead@lancaster.ac.uk",role=c("aut","ths"))) Description: Implements Collective And Point Anomaly (CAPA) Fisch, Eckley, and Fearnhead (2022) , Multi-Variate Collective And Point Anomaly (MVCAPA) Fisch, Eckley, and Fearnhead (2021) , Proportion Adaptive Segment Selection (PASS) Jeng, Cai, and Li (2012) , and Bayesian Abnormal Region Detector (BARD) Bardwell and Fearnhead (2015) . 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) . License: GPL Imports: dplyr,tidyr,methods,ggplot2,Rcpp (>= 0.12.18),xts,zoo,Rdpack,cowplot LinkingTo: Rcpp,BH Depends: R (>= 3.5.0) NeedsCompilation: yes RoxygenNote: 7.3.2 RdMacros: Rdpack Encoding: UTF-8 Collate: 'RcppExports.R' 'anomaly-package.R' 'generics.R' 'bard.R' 'capa.R' 'data.R' 'pass.R' 'pass.class.R' Suggests: robustbase Packaged: 2026-09-23 09:54:46 UTC; root Author: Alex Fisch [aut], Daniel Grose [aut, cre], Lawrence Bardwell [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