Changes in version 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)
  - 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)

                 Changes in version 1.0.0 (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.