Fast approximate methods for mixed logistic regression in genome-wide analysis studies (GWAS). Milet et al 2020 <doi:10.1101/2020.01.17.910109>.
| Version: | 0.3 |
| Depends: | gaston (≥ 1.5.6) |
| Imports: | Rcpp (≥ 1.0.2) |
| LinkingTo: | Rcpp, RcppEigen, gaston |
| Suggests: | knitr, rmarkdown, png |
| Published: | 2020-03-25 |
| Author: | Hervé Perdry and Jacqueline Milet |
| Maintainer: | Hervé Perdry <herve.perdry at u-psud.fr> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | milorGWAS results |
| Reference manual: | milorGWAS.pdf |
| Vignettes: |
milorGWAS package |
| Package source: | milorGWAS_0.3.tar.gz |
| Windows binaries: | r-devel: milorGWAS_0.3.zip, r-release: milorGWAS_0.3.zip, r-oldrel: milorGWAS_0.3.zip |
| macOS binaries: | r-release (arm64): milorGWAS_0.3.tgz, r-oldrel (arm64): milorGWAS_0.3.tgz, r-release (x86_64): milorGWAS_0.3.tgz, r-oldrel (x86_64): milorGWAS_0.3.tgz |
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