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.

Version:	0.1.44
Depends:	R (≥ 3.5.0)
Imports:	Rcpp (≥ 1.0.0), stats
LinkingTo:	Rcpp
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown, sf
Published:	2026-05-15
DOI:	10.32614/CRAN.package.treeSS
Author:	Allan Quadros [aut, cre], Andre L. F. Cancado [aut], Geiziane S. Oliveira [aut], Luiz H. Duczmal [aut]
Maintainer:	Allan Quadros <allanvcq at gmail.com>
BugReports:	https://github.com/allanvc/treeSS/issues
License:	GPL (≥ 3)
URL:	https://github.com/allanvc/treeSS
NeedsCompilation:	yes
SystemRequirements:	GNU make
Citation:	treeSS citation info
Materials:	README, NEWS
CRAN checks:	treeSS results

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