coxmeg: Cox Mixed-Effects Models for Genome-Wide Association Studies

Fast algorithms for fitting a Cox mixed-effects model for e.g., genome-wide association studies. See Liang He and Alexander Kulminski (2020) <doi:10.1534/genetics.119.302940>.

Version: 1.1.4
Depends: R (≥ 4.1)
Imports: Rcpp (≥ 1.0.7), nloptr, MASS, SNPRelate, SeqArray, rARPACK, stats, Matrix, methods, utils, microbenchmark
LinkingTo: Rcpp, RcppEigen
Suggests: coxme, gdsfmt, GENESIS, knitr, rmarkdown, testthat
Published: 2023-01-13
Author: Liang He, Stephanie Gogarten
Maintainer: Liang He <lianghe at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
CRAN checks: coxmeg results


Reference manual: coxmeg.pdf
Vignettes: Cox Mixed-Effects Models for Genome-Wide Association Studies
Using GDS files with coxmeg


Package source: coxmeg_1.1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): coxmeg_1.1.4.tgz, r-oldrel (arm64): not available, r-release (x86_64): coxmeg_1.1.4.tgz, r-oldrel (x86_64): coxmeg_1.1.4.tgz
Old sources: coxmeg archive


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