Package: fastcmh 0.2.7
Dean Bodenham
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.
Authors:
fastcmh_0.2.7.tar.gz
fastcmh_0.2.7.tar.gz(r-4.5-noble)fastcmh_0.2.7.tar.gz(r-4.4-noble)
fastcmh_0.2.7.tgz(r-4.4-emscripten)fastcmh_0.2.7.tgz(r-4.3-emscripten)
fastcmh.pdf |fastcmh.html✨
fastcmh/json (API)
| # Install 'fastcmh' in R: |
| install.packages('fastcmh', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:e0f87248b0. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 29 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 29 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Demo of fastcmh | demofastcmh |
| Create sample data for fastcmh | makefastcmhdata |
| Run the fastcmh algorithm | runfastcmh |