# 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.
