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Changelog

Source: NEWS.md

gsClusterDetect 1.0.2

  • adds function identify_states that returns a vector of states given a frame of zip or county locations (#41)
  • aligns data types of built in zipcodes dataset with documentation (#40)
  • most location functions can now take multiple state (#41)
  • Added a vignette to describe the use of the inject_counts() function for artificial signal generation (#31)

gsClusterDetect 1.0.1

CRAN release: 2026-07-27

  • 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

CRAN release: 2026-03-23

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.