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 sparse Bayesian learning method for QTL mapping and genome-wide association studies.
| Version: | 0.1.0 |
| Depends: | stats, R (≥ 2.10) |
| Suggests: | knitr, rmarkdown |
| Published: | 2018-10-26 |
| DOI: | 10.32614/CRAN.package.sbl |
| Author: | Meiyue Wang and Shizhong Xu |
| Maintainer: | Meiyue Wang <mwang024 at ucr.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | sbl results |
| Reference manual: | sbl.pdf |
| Vignettes: |
'sbl.tutorial' |
| Package source: | sbl_0.1.0.tar.gz |
| Windows binaries: | r-devel: sbl_0.1.0.zip, r-release: sbl_0.1.0.zip, r-oldrel: sbl_0.1.0.zip |
| macOS binaries: | r-release (arm64): sbl_0.1.0.tgz, r-oldrel (arm64): sbl_0.1.0.tgz, r-release (x86_64): sbl_0.1.0.tgz, r-oldrel (x86_64): sbl_0.1.0.tgz |
| Reverse imports: | mrMLM, mrMLM.GUI |
Please use the canonical form https://CRAN.R-project.org/package=sbl 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.