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Fast approximate methods for mixed logistic regression in genome-wide analysis studies (GWAS). Two computationnally efficient methods are proposed for obtaining effect size estimates (beta) in Mixed Logistic Regression in GWAS: the Approximate Maximum Likelihood Estimate (AMLE), and the Offset method. The wald test obtained with AMLE is identical to the score test. Data can be genotype matrices in plink format, or dosage (VCF files). The methods are described in details in Milet et al (2020) <doi:10.1101/2020.01.17.910109>.
| Version: | 0.7 |
| Depends: | gaston (≥ 1.6) |
| Imports: | Rcpp (≥ 1.0.2) |
| LinkingTo: | Rcpp, RcppEigen, gaston |
| Suggests: | knitr, rmarkdown, png |
| Published: | 2024-06-21 |
| DOI: | 10.32614/CRAN.package.milorGWAS |
| Author: | Hervé Perdry [aut, cre], Jacqueline Milet [aut] |
| Maintainer: | Hervé Perdry <herve.perdry at universite-paris-saclay.fr> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | milorGWAS results |
| Reference manual: | milorGWAS.pdf |
| Vignettes: |
milorGWAS package |
| Package source: | milorGWAS_0.7.tar.gz |
| Windows binaries: | r-devel: milorGWAS_0.7.zip, r-release: milorGWAS_0.7.zip, r-oldrel: milorGWAS_0.7.zip |
| macOS binaries: | r-release (arm64): milorGWAS_0.7.tgz, r-oldrel (arm64): milorGWAS_0.7.tgz, r-release (x86_64): milorGWAS_0.7.tgz, r-oldrel (x86_64): milorGWAS_0.7.tgz |
| Old sources: | milorGWAS archive |
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