Package: fastcmh
Title: Significant Interval Discovery with Categorical Covariates
Version: 0.2.7
Author: Felipe Llinares Lopez, Dean Bodenham
Maintainer: Dean Bodenham <deanbodenhambsse@gmail.com>
Description: 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.
Depends: R (>= 3.3.0), bindata
License: GPL-2 | GPL-3
LinkingTo: Rcpp
Imports: Rcpp
Suggests: testthat
RoxygenNote: 5.0.1
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2016-09-13 16:11:45 UTC; dean
Repository: CRAN
Date/Publication: 2016-09-13 21:19:17
Built: R 4.6.0; x86_64-apple-darwin20; 2025-08-18 06:09:33 UTC; unix
Archs: fastcmh.so.dSYM
