scanstatistics: Space-Time Anomaly Detection using Scan Statistics (original) (raw)
Detection of anomalous space-time clusters using the scan statistics methodology. Focuses on prospective surveillance of data streams, scanning for clusters with ongoing anomalies. Hypothesis testing is made possible by Monte Carlo simulation. Allévius (2018) <doi:10.21105/joss.00515>.
| Version: | 1.1.2 |
|---|---|
| Depends: | R (≥ 3.4) |
| Imports: | dplyr, ismev, magrittr, plyr, Rcpp, stats, sets, tibble, tidyr |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | purrr, doParallel, foreach, ggplot2, knitr, MASS, pscl, reshape2, rmarkdown, sp, testthat, gamlss.dist |
| Published: | 2025-10-16 |
| DOI: | 10.32614/CRAN.package.scanstatistics |
| Author: | Benjamin Allévius [aut], Paul Romer Present [ctb, cre] |
| Maintainer: | Paul Romer Present <paul.romerpresent at fastmail.fm> |
| BugReports: | https://github.com/promerpr/scanstatistics/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/promerpr/scanstatistics |
| NeedsCompilation: | yes |
| Citation: | scanstatistics citation info |
| Materials: | README, NEWS |
| In views: | AnomalyDetection |
| CRAN checks: | scanstatistics results |
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