anomaly

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.

Last 30 days

This package has been downloaded 492 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 6,211 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Aug 28, 2024 with 88 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.