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.
HDCD: High-Dimensional Changepoint Detection
Efficient implementations of the following multiple changepoint detection algorithms: Efficient Sparsity Adaptive Change-point estimator by Moen, Glad and Tveten (2023) <doi:10.48550/arXiv.2306.04702> , Informative Sparse Projection for Estimating Changepoints by Wang and Samworth (2017) <doi:10.1111/rssb.12243>, and the method of Pilliat et al (2023) <doi:10.1214/23-EJS2126>.
| Version: |
1.0 |
| Imports: |
mclust, Rdpack |
| Published: |
2023-11-19 |
| Author: |
Per August Jarval Moen
 [cre, aut] |
| Maintainer: |
Per August Jarval Moen <pamoen at math.uio.no> |
| License: |
GPL-3 |
| NeedsCompilation: |
yes |
| Materials: |
README |
| CRAN checks: |
HDCD results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=HDCD
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.