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.
Provides a method for detecting multiple change points in high-dimensional time series, targeting dense or spatially clustered signals. See Li et al. (2023) "L2 Inference for Change Points in High-Dimensional Time Series via a Two-Way MOSUM". arXiv preprint <doi:10.48550/arXiv.2208.13074>.
| Version: | 1.0 |
| Depends: | R (≥ 2.10) |
| Published: | 2023-07-20 |
| DOI: | 10.32614/CRAN.package.L2hdchange |
| Author: | Jiaqi Li [aut], Likai Chen [aut], Weining Wang [aut], Wei Biao Wu [aut], Rui Lin [cre] |
| Maintainer: | Rui Lin <ruilin1081 at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | L2hdchange results |
| Reference manual: | L2hdchange.pdf |
| Package source: | L2hdchange_1.0.tar.gz |
| Windows binaries: | r-devel: L2hdchange_1.0.zip, r-release: L2hdchange_1.0.zip, r-oldrel: L2hdchange_1.0.zip |
| macOS binaries: | r-release (arm64): L2hdchange_1.0.tgz, r-oldrel (arm64): L2hdchange_1.0.tgz, r-release (x86_64): L2hdchange_1.0.tgz, r-oldrel (x86_64): L2hdchange_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=L2hdchange 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.