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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[issues need fixing before 2025-12-18]

Documentation:

Reference manual:fastcmh.html ,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 formhttps://CRAN.R-project.org/package=fastcmhto link to this page.


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