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>
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:, r-release:, r-oldrel:
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


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