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 (2019) <doi:10.1101/729285>.

Version: 1.0.13
Depends: R (≥ 3.4), Rcpp (≥ 0.12.18)
Imports: nloptr, MASS, matrixcalc, SNPRelate, SeqArray, rARPACK, stats, Matrix, methods, utils, microbenchmark
LinkingTo: Rcpp, RcppEigen
Suggests: coxme, gdsfmt, GENESIS, knitr, rmarkdown, testthat
Published: 2021-05-02
Author: Liang He, Stephanie Gogarten
Maintainer: Liang He <liang.he 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_1.0.13.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: coxmeg_1.0.13.tgz, r-oldrel: coxmeg_1.0.12.tgz
Old sources: coxmeg archive


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