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DESCRIPTION
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DESCRIPTION
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Package: scanstatistics
Type: Package
Title: Space-Time Anomaly Detection using Scan Statistics
Description: 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
Date: 2023-01-25
Authors@R: c(
person("Benjamin", "Allévius", email = "benjak@math.su.se", role = "aut"),
person("Paul", "Romer Present", email = "paul.romerpresent@fastmail.fm", role = c("ctb", "cre"))
)
Encoding: UTF-8
License: GPL (>= 3)
URL: https://github.com/promerpr/scanstatistics
BugReports: https://github.com/promerpr/scanstatistics/issues
Depends: R (>= 3.4)
Imports: dplyr, ismev, magrittr, plyr, Rcpp, stats, sets, tibble, tidyr
Suggests: purrr, doParallel, foreach, ggplot2, knitr, MASS, pscl, reshape2,
rmarkdown, sp, testthat, gamlss.dist
VignetteBuilder: knitr
RoxygenNote: 7.2.1
ByteCompile: true
SystemRequirements: C++11
LinkingTo: Rcpp, RcppArmadillo
LazyData: true