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.

Package details

AuthorAllan Quadros [aut, cre] (ORCID: <https://orcid.org/0000-0003-3250-5380>), Andre L. F. Cancado [aut] (ORCID: <https://orcid.org/0000-0002-7019-8521>), Geiziane S. Oliveira [aut], Luiz H. Duczmal [aut]
MaintainerAllan Quadros <allanvcq@gmail.com>
LicenseGPL (>= 3)
Version0.1.44
URL https://github.com/allanvc/treeSS
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("treeSS")

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treeSS documentation built on May 16, 2026, 1:08 a.m.