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) <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>.
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: 2024-08-19 15:37:28 UTC; grosed
Author: Alex Fisch [aut],
  Daniel Grose [aut, cre],
  Lawrence Bardwell [aut, ctb],
  Idris Eckley [aut, ths],
  Paul Fearnhead [aut, ths]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2024-08-19 18:40:07 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-11-01 04:53:44 UTC; windows
Archs: x64
