NEWS.md

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

gsClusterDetect 1.0.1

• Parameter post_cluster_min_count removed from find_clusters() as it was never implemented or used (#15)
• Package documentation using pkgdown added (#22)
• Vignette describing the overall usage of the package added (#14)
• Vignette describing the creation of distance objects added (#28)
• Vignette describing the use of the return_interim parameter in find_clusters() and the intermediate objects returned (#32)
• Function state_distance_matrix() created and "state" added as allowed value in create_dist_list() (#30)
• Output table from find_clusters() updated with more sensible column names (#20)
• Adds basic mapping functionality using new function map_clusters() (#17)

gsClusterDetect 1.0.0

Initial release

• Initial CRAN submission.
• Provides a workflow for detecting and classifying geo-spatial clusters from count time series by location and date.
• Includes end-to-end cluster detection helpers covering case-grid generation, nearby-case aggregation, observed-versus-expected calculations, and identification of priority clusters using a spline-based threshold classification model learned from previous scan statistic runs.
• Provides distance utilities for county, ZIP code, census tract, U.S.-wide, and custom point-based locations, including sparse neighbor-list constructors.
• Includes summary and visualization helpers for baseline and test intervals, including summary tables, heat map data and plots, and time-series data and plots.
• Includes built-in example data and spline look-up tables for package examples and testing.

gsClusterDetect documentation built on July 27, 2026, 5:09 p.m.