treeSS
Tree-Spatial Scan Statistic for Cluster Detection
Implements the tree-spatial scan statistic for detecting clusters that combine both spatial and hierarchical structures, as proposed by Cancado et al. (2025) <doi:10.1007/s10651-025-00670-w>. The method extends Kulldorff (1997) <doi:10.1080/03610929708831995> circular spatial scan statistic and the tree-based scan statistic of Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039> by searching for anomalies in both geographic regions and branches of hierarchical trees simultaneously. The package also provides standalone implementations of Kulldorff's circular spatial scan statistic and the tree-based scan statistic. Statistical significance is assessed via Monte Carlo simulation under a Poisson or binomial model, with optional 'OpenMP' parallelization.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.44 |
rolling linux/jammy R-4.5 | treeSS_0.1.44.tar.gz |
1.0 MiB |
0.1.44 |
rolling linux/noble R-4.5 | treeSS_0.1.44.tar.gz |
1.0 MiB |
0.1.44 |
rolling source/ R- | treeSS_0.1.44.tar.gz |
875.4 KiB |
0.1.44 |
latest linux/jammy R-4.5 | treeSS_0.1.44.tar.gz |
1.0 MiB |
0.1.44 |
latest linux/noble R-4.5 | treeSS_0.1.44.tar.gz |
1.0 MiB |
0.1.44 |
latest source/ R- | treeSS_0.1.44.tar.gz |
875.4 KiB |
0.1.44 |
2026-04-23 source/ R- | treeSS_0.1.44.tar.gz |
0 B |