# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "gsClusterDetect" in publications use:'
type: software
license: Apache-2.0
title: 'gsClusterDetect: Utilities for Geo-Spatial Cluster Detection and Significance
  Classification'
version: 1.0.1
doi: 10.32614/CRAN.package.gsClusterDetect
abstract: Provides utilities for manipulating time series of location-based counts
  of events to detect geo-spatial clusters. Significance of these clusters is determined
  using a set of models that classify based on a learned relationship between observed
  and the log(observed/expected) ratio of counts. The approach implemented here is
  similar to prospective space-time estimation of clusters using the scan statistic.
authors:
- family-names: Mullany
  given-names: Luke C.
  email: luke.mullany@jhuapl.edu
- family-names: Burkom
  given-names: Howard S.
repository: https://lmullany.r-universe.dev
repository-code: https://github.com/lmullany/gsClusterDetect
commit: 8a3d28c610e91a431ceda4796eb42cae837148dd
url: https://lmullany.github.io/gsClusterDetect/
date-released: '2026-06-09'
contact:
- family-names: Mullany
  given-names: Luke C.
  email: luke.mullany@jhuapl.edu