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 |
| Depends: |
R (≥ 3.4) |
| Imports: |
dplyr, emdbook, ismev, magrittr, methods, plyr, purrr, Rcpp, reliaR, sets, tibble, tidyr |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
doParallel, foreach, ggplot2, knitr, MASS, pscl, reshape2, rmarkdown, sp, testthat |
| Published: |
2018-01-24 |
| Author: |
Benjamin Allévius [aut, cre] |
| Maintainer: |
Benjamin Allévius <benjak at math.su.se> |
| BugReports: |
https://github.com/BenjaK/scanstatistics/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/BenjaK/scanstatistics |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++11 |
| Materials: |
README NEWS |
| CRAN checks: |
scanstatistics results |