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
Config/pak/sysreqs: libicu-dev
Repository: https://promerpr.r-universe.dev
Date/Publication: 2023-01-26 22:59:50 UTC
RemoteUrl: https://github.com/promerpr/scanstatistics
RemoteRef: HEAD
RemoteSha: d3f0113c6226c5814caeebfa26a0dedbeec126b9
NeedsCompilation: yes
Packaged: 2026-10-17 10:59:15 UTC; root
Author: Benjamin Allévius [aut],
  Paul Romer Present [ctb, cre]
Maintainer: Paul Romer Present <paul.romerpresent@fastmail.fm>