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: | 1.0.11 |
| Depends: | R (≥ 3.4), Rcpp (≥ 0.12.18) |
| Imports: | nloptr, MASS, matrixcalc, SNPRelate, rARPACK, stats, Matrix, methods, utils, coxme, microbenchmark |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-05-05 |
| Author: | Liang He |
| Maintainer: | Liang He <liang.he at duke.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | yes |
| CRAN checks: | coxmeg results |
| Reference manual: | coxmeg.pdf |
| Vignettes: |
Cox Mixed-Effects Model for Genome-Wide Association Studies |
| Package source: | coxmeg_1.0.11.tar.gz |
| Windows binaries: | r-devel: coxmeg_1.0.11.zip, r-release: coxmeg_1.0.11.zip, r-oldrel: coxmeg_1.0.11.zip |
| macOS binaries: | r-release: coxmeg_1.0.11.tgz, r-oldrel: coxmeg_1.0.11.tgz |
| Old sources: | coxmeg archive |
Please use the canonical form https://CRAN.R-project.org/package=coxmeg to link to this page.