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.
Version: 1.0.1
Date: 2018-01-16
Authors@R: person("Benjamin", "Allévius", email = "benjak@math.su.se",
  role = c("aut", "cre"))
Maintainer: Benjamin Allévius <benjak@math.su.se>
Encoding: UTF-8
License: GPL (>= 3)
URL: https://github.com/BenjaK/scanstatistics
BugReports: https://github.com/BenjaK/scanstatistics/issues
Depends: R (>= 3.4)
Imports: dplyr, emdbook, ismev, magrittr, methods, plyr, purrr, Rcpp,
        reliaR, sets, tibble, tidyr
Suggests: doParallel, foreach, ggplot2, knitr, MASS, pscl, reshape2,
        rmarkdown, sp, testthat
VignetteBuilder: knitr
RoxygenNote: 6.0.1
ByteCompile: true
SystemRequirements: C++11
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2018-01-24 07:52:45 UTC; bekj9674
Author: Benjamin Allévius [aut, cre]
Repository: CRAN
Date/Publication: 2018-01-24 12:37:44 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 10:27:17 UTC; windows
Archs: i386, x64
