The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Implements detection for the number and locations of the change-points in a time series using the Wild Binary Segmentation and the Locally Stationary Wavelet model of Korkas and Fryzlewicz (2017) <doi:10.5705/ss.202015.0262>.
| Version: | 2.1 |
| Depends: | mvtnorm, wavelets, R (≥ 3.0.0) |
| Imports: | Rcpp (≥ 0.12.12) |
| LinkingTo: | Rcpp |
| Published: | 2020-06-12 |
| Author: | Karolos Korkas and Piotr Fryzlewicz |
| Maintainer: | Karolos Korkas <kkorkas at yahoo.co.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | wbsts results |
| Reference manual: | wbsts.pdf |
| Package source: | wbsts_2.1.tar.gz |
| Windows binaries: | r-devel: wbsts_2.1.zip, r-release: wbsts_2.1.zip, r-oldrel: wbsts_2.1.zip |
| macOS binaries: | r-release (arm64): wbsts_2.1.tgz, r-oldrel (arm64): wbsts_2.1.tgz, r-release (x86_64): wbsts_2.1.tgz, r-oldrel (x86_64): wbsts_2.1.tgz |
| Old sources: | wbsts archive |
Please use the canonical form https://CRAN.R-project.org/package=wbsts to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.