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.
A method which uses the Cochran-Mantel-Haenszel test with significant pattern mining to detect intervals in binary genotype data which are significantly associated with a particular phenotype, while accounting for categorical covariates.
| Version: | 0.2.7 |
| Depends: | R (≥ 3.3.0), bindata |
| Imports: | Rcpp |
| LinkingTo: | Rcpp |
| Suggests: | testthat |
| Published: | 2016-09-13 |
| Author: | Felipe Llinares Lopez, Dean Bodenham |
| Maintainer: | Dean Bodenham <deanbodenhambsse at gmail.com> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| CRAN checks: | fastcmh results |
| Reference manual: | fastcmh.pdf |
| Package source: | fastcmh_0.2.7.tar.gz |
| Windows binaries: | r-devel: fastcmh_0.2.7.zip, r-release: fastcmh_0.2.7.zip, r-oldrel: fastcmh_0.2.7.zip |
| macOS binaries: | r-release (arm64): fastcmh_0.2.7.tgz, r-oldrel (arm64): fastcmh_0.2.7.tgz, r-release (x86_64): fastcmh_0.2.7.tgz, r-oldrel (x86_64): fastcmh_0.2.7.tgz |
| Old sources: | fastcmh archive |
Please use the canonical form https://CRAN.R-project.org/package=fastcmh 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.