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anomaly  

Detecting Anomalies in Data
View on CRAN: Click here


Download and install anomaly package within the R console
Install from CRAN:
install.packages("anomaly")

Install from Github:
library("remotes")
install_github("cran/anomaly")

Install by package version:
library("remotes")
install_version("anomaly", "4.3.3")



Attach the package and use:
library("anomaly")
Maintained by
Daniel Grose
[Scholar Profile | Author Map]
First Published: 2018-06-30
Latest Update: 2023-11-23
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.
How to cite:
Daniel Grose (2018). anomaly: Detecting Anomalies in Data. R package version 4.3.3, https://cran.r-project.org/web/packages/anomaly. Accessed 29 Apr. 2025.
Previous versions and publish date:
1.0.0 (2018-06-30 19:04), 1.1.0 (2018-09-21 09:20), 2.0.1 (2019-09-11 13:00), 2.0.2 (2019-09-19 14:00), 2.0.4 (2020-02-28 11:50), 3.0.0 (2020-03-16 12:10), 3.0.1 (2020-04-06 14:42), 3.0.2 (2020-08-07 12:00), 4.0.0 (2020-09-29 16:50), 4.0.1 (2021-01-21 17:20), 4.0.2 (2021-10-20 21:40), 4.3.0 (2023-08-10 09:50), 4.3.1 (2023-10-30 15:00), 4.3.2 (2023-11-23 14:40)
Other packages that cited anomaly R package
View anomaly citation profile
Other R packages that anomaly depends, imports, suggests or enhances
Complete documentation for anomaly
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