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 |
| Reference manual: | scanstatistics.pdf |
| Vignettes: |
Introduction to scanstatistics |
| Package source: | scanstatistics_1.0.1.tar.gz |
| Windows binaries: | r-devel: scanstatistics_1.0.1.zip, r-release: scanstatistics_1.0.1.zip, r-oldrel: scanstatistics_1.0.1.zip |
| OS X binaries: | r-release: scanstatistics_1.0.1.tgz, r-oldrel: scanstatistics_1.0.1.tgz |
| Old sources: | scanstatistics archive |
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