Space-Time Anomaly Detection using Scan Statistics R package scanstatistics version 1.1.2 CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection) 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>. Software 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 Paul Romer Present <paul.romerpresent@fastmail.fm> Comprehensive R Archive Network (CRAN) Benjamin Allévius [aut], Paul Romer Present [ctb, cre] GPL (>= 3) 2025-10-16 application/tgz https://CRAN.R-project.org/package=scanstatistics doi:10.32614/CRAN.package.scanstatistics