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treeSS  

Tree-Spatial Scan Statistic for Cluster Detection
View on CRAN: Click here


Download and install treeSS package within the R console
Install from CRAN:
install.packages("treeSS")

Install from Github:
library("remotes")
install_github("cran/treeSS")

Install by package version:
library("remotes")
install_version("treeSS", "0.2.6")



Attach the package and use:
library("treeSS")
Maintained by
Allan Quadros
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-15
Latest Update: 2026-05-15
Description:
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.
How to cite:
Allan Quadros (2026). treeSS: Tree-Spatial Scan Statistic for Cluster Detection. R package version 0.2.6, https://cran.r-project.org/web/packages/treeSS. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-10-02 18:20), 0.1.44 (2026-05-15 22:40), 0.1.50 (2026-05-30 04:40), 0.2.4 (2026-07-02 09:00), 0.2.5 (2026-07-11 07:30), 0.2.6 (2026-07-28 14:40)
Other packages that cited treeSS R package
View treeSS citation profile
Other R packages that treeSS depends, imports, suggests or enhances
Complete documentation for treeSS
Functions, R codes and Examples using the treeSS R package
Full treeSS package functions and examples
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