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scanstatistics: Space-Time Anomaly Detection using Scan Statistics
Detection of anomalous space-time clusters using the scan statistics methodology. Focuses on prospective surveillance of data streams, scanning for clusters with ongoing anomalies. Hypothesis testing is made possible by Monte Carlo simulation. Allévius (2018) <doi:10.21105/joss.00515>.
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Package details |
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| Author | Benjamin Allévius [aut], Paul Romer Present [ctb, cre] |
| Maintainer | Paul Romer Present <paul.romerpresent@fastmail.fm> |
| License | GPL (>= 3) |
| Version | 1.1.1 |
| URL | https://github.com/promerpr/scanstatistics |
| Package repository | View on CRAN |
| Installation |
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