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
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:
OS X El Capitan binaries: r-release: fastcmh_0.2.7.tgz
OS X Mavericks binaries: r-oldrel: fastcmh_0.2.7.tgz
Old sources: fastcmh archive


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