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.

fastcmh: Significant Interval Discovery with Categorical Covariates

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
DOI: 10.32614/CRAN.package.fastcmh
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

Documentation:

Reference manual: fastcmh.pdf

Downloads:

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

Linking:

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.