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.
An algorithm for identifying high-resolution driver elements for datasets from a high-definition reporter assay library. Xinchen Wang, Liang He, Sarah Goggin, Alham Saadat, Li Wang, Melina Claussnitzer, Manolis Kellis (2017) <doi:10.1101/193136>.
Version: | 1.1.1.0 |
Depends: | R (≥ 3.3.0), methods |
Imports: | mvtnorm (≥ 1.0), Matrix (≥ 1.2) |
Published: | 2018-05-16 |
DOI: | 10.32614/CRAN.package.sharpr2 |
Author: | Liang He |
Maintainer: | Liang He <lianghe at mit.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | sharpr2 results |
Reference manual: | sharpr2.pdf |
Package source: | sharpr2_1.1.1.0.tar.gz |
Windows binaries: | r-devel: sharpr2_1.1.1.0.zip, r-release: sharpr2_1.1.1.0.zip, r-oldrel: sharpr2_1.1.1.0.zip |
macOS binaries: | r-release (arm64): sharpr2_1.1.1.0.tgz, r-oldrel (arm64): sharpr2_1.1.1.0.tgz, r-release (x86_64): sharpr2_1.1.1.0.tgz, r-oldrel (x86_64): sharpr2_1.1.1.0.tgz |
Old sources: | sharpr2 archive |
Please use the canonical form https://CRAN.R-project.org/package=sharpr2 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.