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 a backward procedure for single and multiple change point detection proposed by Shin et al. <doi:10.48550/arXiv.1812.10107>. The backward approach is particularly useful to detect short and sparse signals which is common in copy number variation (CNV) detection.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.4.0) |
| Published: | 2019-01-04 |
| Author: | Seung Jun Shin [aut, cre], Yichao Wu [aut], Ning Hao [aut] |
| Maintainer: | Seung Jun Shin <sjshin at korea.ac.kr> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | bwd results |
| Reference manual: | bwd.pdf |
| Package source: | bwd_0.1.0.tar.gz |
| Windows binaries: | r-devel: bwd_0.1.0.zip, r-release: bwd_0.1.0.zip, r-oldrel: bwd_0.1.0.zip |
| macOS binaries: | r-release (arm64): bwd_0.1.0.tgz, r-oldrel (arm64): bwd_0.1.0.tgz, r-release (x86_64): bwd_0.1.0.tgz, r-oldrel (x86_64): bwd_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=bwd 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.