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The Sparse Marginal Epistasis Test is a computationally efficient genetics method which detects statistical epistasis in complex traits; see Stamp et al. (2025, <doi:10.1101/2025.01.11.632557>) for details.
Version: | 0.0.1 |
Depends: | R (≥ 4.4.0) |
Imports: | dplyr, genio, logging, mvMAPIT, Rcpp, tidyr |
LinkingTo: | BH, Rcpp, RcppEigen, Rhdf5lib, testthat |
Suggests: | GenomicRanges, ggplot2, knitr, rmarkdown, testthat (≥ 3.0.0), xml2 |
Published: | 2025-01-16 |
DOI: | 10.32614/CRAN.package.smer |
Author: | Julian Stamp [cre, aut], Lorin Crawford [aut], sriramlab [cph] (Author of included mailman algorithm), Blue Brain Project/EPFL [cph] (Author of included HighFive library) |
Maintainer: | Julian Stamp <julian.d.stamp at gmail.com> |
BugReports: | https://github.com/lcrawlab/sme/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/lcrawlab/sme, https://lcrawlab.github.io/sme/ |
NeedsCompilation: | yes |
SystemRequirements: | GNU make |
Materials: | README NEWS |
CRAN checks: | smer results |
Package source: | smer_0.0.1.tar.gz |
Windows binaries: | r-devel: smer_0.0.1.zip, r-release: not available, r-oldrel: not available |
macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.