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 the generation of Monte Carlo p-values.

Version: 0.1.0
Depends: data.table, R (≥ 2.10)
Imports: gamlss.dist, magrittr, plyr, sets
Suggests: doParallel, foreach, ggplot2, knitr, MASS, pscl, purrr, reshape2, rmarkdown, sp, testthat
Published: 2016-09-29
Author: Benjamin Kjellson [aut, cre]
Maintainer: Benjamin Kjellson <benjak at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: scanstatistics results


Reference manual: scanstatistics.pdf
Vignettes: Introduction to scanstatistics
Package source: scanstatistics_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: scanstatistics_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: scanstatistics_0.1.0.tgz


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