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.

Version: 1.0.0
Depends: R (≥ 3.4)
Imports: dplyr, emdbook, gamlss.dist, ismev, magrittr, methods, plyr, purrr, Rcpp, reliaR, sets, tibble, tidyr
LinkingTo: Rcpp, RcppArmadillo
Suggests: doParallel, foreach, ggplot2, knitr, MASS, pscl, reshape2, rmarkdown, sp, testthat
Published: 2017-09-07
Author: Benjamin Allévius [aut, cre]
Maintainer: Benjamin Allévius <benjak at math.su.se>
BugReports: https://github.com/BenjaK/scanstatistics/issues
License: GPL (≥ 3)
URL: https://github.com/BenjaK/scanstatistics
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: scanstatistics results

Downloads:

Reference manual: scanstatistics.pdf
Vignettes: Introduction to scanstatistics
Package source: scanstatistics_1.0.0.tar.gz
Windows binaries: r-devel: scanstatistics_1.0.0.zip, r-release: scanstatistics_1.0.0.zip, r-oldrel: scanstatistics_0.1.0.zip
OS X El Capitan binaries: r-release: scanstatistics_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: scanstatistics_0.1.0.tgz
Old sources: scanstatistics archive

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