MAGEE: Mixed Model Association Test for GEne-Environment Interaction

Use a 'glmmkin' class object from the null generalized linear mixed-effect model (GLMM) to perform variant set-based main effect tests, gene-environment interaction tests, and joint tests for association, as proposed in Wang et al. (2020) <doi:10.1002/gepi.22351>.

Version: 1.0.0
Depends: R (≥ 3.2.0)
Imports: Rcpp, Matrix, parallel, MASS, SeqArray, SeqVarTools, foreach, GMMAT, CompQuadForm
LinkingTo: Rcpp, RcppArmadillo
Suggests: doMC, testthat
Published: 2021-05-10
Author: Xinyu Wang [aut, cre], Han Chen [aut], Duy Pham [aut]
Maintainer: Xinyu Wang <xinyu.wang at uth.tmc.edu>
License: GPL-3
Copyright: See COPYRIGHTS for details.
MAGEE copyright details
NeedsCompilation: yes
Materials: README
CRAN checks: MAGEE results

Documentation:

Reference manual: MAGEE.pdf
Vignettes: MAGEE

Downloads:

Package source: MAGEE_1.0.0.tar.gz
Windows binaries: r-devel: MAGEE_1.0.0.zip, r-devel-UCRT: MAGEE_1.0.0.zip, r-release: MAGEE_1.0.0.zip, r-oldrel: MAGEE_1.0.0.zip
macOS binaries: r-release (arm64): MAGEE_1.0.0.tgz, r-release (x86_64): MAGEE_1.0.0.tgz, r-oldrel: MAGEE_1.0.0.tgz

Linking:

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