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gsClusterDetect: Utilities for Geo-Spatial Cluster Detection and Significance Classification
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.
Package details |
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| Author | Luke C. Mullany [aut, cre], Howard S. Burkom [aut] |
| Maintainer | Luke C. Mullany <luke.mullany@jhuapl.edu> |
| License | Apache License (>= 2) |
| Version | 1.0.1 |
| URL | https://github.com/lmullany/gsClusterDetect https://lmullany.github.io/gsClusterDetect/ |
| Package repository | View on CRAN |
| Installation |
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