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: 1.1.1 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: 2023-01-26 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 SystemRequirements: C++11 Citation: scanstatistics citation info Materials: README NEWS CRAN checks: scanstatistics resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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