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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.