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 the generation of Monte Carlo p-values.
| Version: | 0.1.0 |
| Depends: | data.table, R (≥ 2.10) |
| Imports: | gamlss.dist, magrittr, plyr, sets |
| Suggests: | doParallel, foreach, ggplot2, knitr, MASS, pscl, purrr, reshape2, rmarkdown, sp, testthat |
| Published: | 2016-09-29 |
| Author: | Benjamin Kjellson [aut, cre] |
| Maintainer: | Benjamin Kjellson <benjak at math.su.se> |
| BugReports: | https://github.com/BenjaK/scanstatistics/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/BenjaK/scanstatistics |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | scanstatistics results |
| Reference manual: | scanstatistics.pdf |
| Vignettes: |
Introduction to scanstatistics |
| Package source: | scanstatistics_0.1.0.tar.gz |
| Windows binaries: | r-devel: scanstatistics_0.1.0.zip, r-release: scanstatistics_0.1.0.zip, r-oldrel: scanstatistics_0.1.0.zip |
| OS X El Capitan binaries: | r-release: scanstatistics_0.1.0.tgz |
| OS X Mavericks binaries: | r-oldrel: scanstatistics_0.1.0.tgz |
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