Welcome to ClientVPS Mirrors

CRAN: Package gsClusterDetect

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: 1.0.1
Depends: R (≥ 4.3)
Imports: cli, data.table (≥ 1.16.0), sf
Suggests: ggplot2, plotly, tigris, testthat (≥ 3.0.0), withr, knitr, rmarkdown
Published: 2026-07-27
DOI: 10.32614/CRAN.package.gsClusterDetect
Author: Luke C. Mullany [aut, cre], Howard S. Burkom [aut]
Maintainer: Luke C. Mullany <luke.mullany at jhuapl.edu>
BugReports: https://github.com/lmullany/gsClusterDetect/issues
License: Apache License (≥ 2)
URL: https://github.com/lmullany/gsClusterDetect, https://lmullany.github.io/gsClusterDetect/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: gsClusterDetect results

Documentation:

Reference manual: gsClusterDetect.html , gsClusterDetect.pdf
Vignettes: Vignette 1: Package Overview (source, R code)
Vignette 2: Creating Distance Objects (source, R code)
Vignette 3: Accessing Interim Objects from Cluster Estimation (source, R code)

Downloads:

Package source: gsClusterDetect_1.0.1.tar.gz
Windows binaries: r-devel: gsClusterDetect_1.0.1.zip, r-release: gsClusterDetect_1.0.1.zip, r-oldrel: gsClusterDetect_1.0.1.zip
macOS binaries: r-release (arm64): gsClusterDetect_1.0.1.tgz, r-oldrel (arm64): gsClusterDetect_1.0.1.tgz, r-release (x86_64): gsClusterDetect_1.0.1.tgz, r-oldrel (x86_64): gsClusterDetect_1.0.1.tgz
Old sources: gsClusterDetect archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gsClusterDetect to link to this page.

Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.

This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.