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gsClusterDetect: Utilities for Geo-Spatial Cluster Detection and Significance Classification

Provides utilities for manipulating time series of location-based counts of events to detect geo-spatial clusters. Significance of these clusters is determined using a set of models that classify based on a learned relationship between observed and the log(observed/expected) ratio of counts. The approach implemented here is similar to prospective space-time estimation of clusters using the scan statistic.

Version: 1.0.0
Depends: R (≥ 4.3)
Imports: cli, data.table (≥ 1.16.0), sf
Suggests: ggplot2, plotly, tigris, testthat (≥ 3.0.0), withr
Published: 2026-03-23
DOI: 10.32614/CRAN.package.gsClusterDetect
Author: Luke Mullany [aut, cre], Howard Burkom [aut]
Maintainer: Luke Mullany <luke.mullany at jhuapl.edu>
BugReports: https://github.com/lmullany/gsClusterDetect/issues
License: Apache License (≥ 2)
URL: https://github.com/lmullany/gsClusterDetect
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: gsClusterDetect results

Documentation:

Reference manual: gsClusterDetect.html , gsClusterDetect.pdf

Downloads:

Package source: gsClusterDetect_1.0.0.tar.gz
Windows binaries: r-devel: gsClusterDetect_1.0.0.zip, r-release: gsClusterDetect_1.0.0.zip, r-oldrel: gsClusterDetect_1.0.0.zip
macOS binaries: r-release (arm64): gsClusterDetect_1.0.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): gsClusterDetect_1.0.0.tgz, r-oldrel (x86_64): gsClusterDetect_1.0.0.tgz

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