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 health.sdu.dk> |
| 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: coxmeg_1.1.4.zip, r-release: coxmeg_1.1.4.zip, r-oldrel: coxmeg_1.1.4.zip |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): coxmeg_1.1.4.tgz, 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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