[aut, cre],
Eiji Yamamoto [aut],
Kentaro K. Shimizu [aut],
Atsushi J. Nagano [aut]To incorporate neighbor genotypic identity into genome-wide association studies, the package provides a set of functions for variation partitioning and association mapping. The theoretical background of the method is described in Sato et al. (2019) <doi:10.1101/845735>.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.10) |
| Imports: | gaston, Matrix, stats, graphics, RcppParallel |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-04-15 |
| Author: | Yasuhiro Sato
[aut, cre],
Eiji Yamamoto [aut],
Kentaro K. Shimizu [aut],
Atsushi J. Nagano [aut] |
| Maintainer: | Yasuhiro Sato <sato.yasuhiro.36c at kyoto-u.jp> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | rNeighborGWAS citation info |
| CRAN checks: | rNeighborGWAS results |
| Reference manual: | rNeighborGWAS.pdf |
| Vignettes: |
rNeighborGWAS |
| Package source: | rNeighborGWAS_1.0.0.tar.gz |
| Windows binaries: | r-prerelease: rNeighborGWAS_1.0.0.zip, r-release: rNeighborGWAS_1.0.0.zip, r-oldrel: rNeighborGWAS_1.0.0.zip |
| macOS binaries: | r-prerelease: not available, r-release: rNeighborGWAS_1.0.0.tgz, r-oldrel: not available |
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