NEWS

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 states (#41)
Added a vignette to describe the use of the inject_counts() function for artificial signal generation (#31)
Added a wrapper function find_clusters_by_df() that wraps the identification of states using `identify_states(), the generation of the appropriate distance matrix, and cluster identification; optionally returns json (#49)

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)

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.