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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>.

Versions across snapshots

VersionRepositoryFileSize
1.1.2 rolling linux/jammy R-4.5 scanstatistics_1.1.2.tar.gz 488.2 KiB
1.1.2 rolling linux/noble R-4.5 scanstatistics_1.1.2.tar.gz 491.7 KiB
1.1.2 rolling source/ R- scanstatistics_1.1.2.tar.gz 286.4 KiB
1.1.2 latest linux/jammy R-4.5 scanstatistics_1.1.2.tar.gz 488.2 KiB
1.1.2 latest linux/noble R-4.5 scanstatistics_1.1.2.tar.gz 491.7 KiB
1.1.2 latest source/ R- scanstatistics_1.1.2.tar.gz 286.4 KiB
1.1.2 2026-04-26 source/ R- scanstatistics_1.1.2.tar.gz 286.4 KiB
1.1.2 2026-04-23 source/ R- scanstatistics_1.1.2.tar.gz 286.4 KiB
1.1.2 2026-04-09 windows/windows R-4.5 scanstatistics_1.1.2.zip 894.1 KiB
1.1.1 2025-04-20 source/ R- scanstatistics_1.1.1.tar.gz 189.8 KiB

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