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.

Documentation

Manual: scanstatistics.pdf
Vignette: Introduction to scanstatistics

Maintainer: Benjamin Kjellson <benjak at math.su.se>

Author(s): Benjamin Kjellson*

Install package and any missing dependencies by running this line in your R console:

install.packages("scanstatistics")

Depends data.table, R (>= 2.10)
Imports gamlss.dist, magrittr, plyr, sets
Suggests doParallel, foreach, ggplot2, knitr, MASS, pscl, purrr, reshape2, rmarkdown, sp, testthat
Enhances
Linking to
Reverse
depends
Reverse
imports
Reverse
suggests
Reverse
enhances
Reverse
linking to

Package scanstatistics
Materials
URL https://github.com/BenjaK/scanstatistics
Task Views
Version 0.1.0
Published 2016-09-29
License GPL (>= 3)
BugReports https://github.com/BenjaK/scanstatistics/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks scanstatistics check results
Package source scanstatistics_0.1.0.tar.gz