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 math.su.se>
BugReports: https://github.com/BenjaK/scanstatistics/issues
License: GPL (≥ 3)
URL: https://github.com/BenjaK/scanstatistics
NeedsCompilation: no
Materials: README NEWS
CRAN checks: scanstatistics results

Downloads:

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

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