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 (may not be active yet) |
| 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 |
| Reference manual: | gsClusterDetect.html , gsClusterDetect.pdf |
| Package source: | gsClusterDetect_1.0.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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