scanstatistics: Space-Time Anomaly Detection using Scan Statistics

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>
License: GPL (≥ 3)
NeedsCompilation: yes
SystemRequirements: C++11
Citation: scanstatistics citation info
Materials: README NEWS
CRAN checks: scanstatistics results


Reference manual: scanstatistics.pdf
Vignettes: Introduction to scanstatistics


Package source: scanstatistics_1.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): scanstatistics_1.1.1.tgz, r-oldrel (arm64): scanstatistics_1.1.1.tgz, r-release (x86_64): scanstatistics_1.1.1.tgz, r-oldrel (x86_64): scanstatistics_1.1.1.tgz
Old sources: scanstatistics archive

Reverse dependencies:

Reverse suggests: ssrn


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