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
NeedsCompilation: yes
Packaged: 2023-01-25 19:57:56 UTC; promerpr
Author: Benjamin Allévius [aut],
  Paul Romer Present [ctb, cre]
Maintainer: Paul Romer Present <paul.romerpresent@fastmail.fm>
Repository: CRAN
Date/Publication: 2023-01-26 12:40:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2025-08-20 03:12:32 UTC; unix
Archs: scanstatistics.so.dSYM
