milorGWAS: Mixed Logistic Regression for Genome-Wide Analysis Studies (GWAS)

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>
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:, r-release:, r-oldrel:
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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