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. (2021) <doi:10.1038/s41437-020-00401-w>.
| Version: |
1.2.4 |
| Imports: |
gaston, Matrix, RcppParallel, stats, graphics |
| Suggests: |
knitr, rmarkdown, testthat |
| Published: |
2021-05-10 |
| DOI: |
10.32614/CRAN.package.rNeighborGWAS |
| Author: |
Yasuhiro Sato 
[aut, cre] (<https://orcid.org/0000-0002-6466-723X>),
Eiji Yamamoto [aut],
Kentaro K. Shimizu
[aut]
(<https://orcid.org/0000-0002-6483-1781>),
Atsushi J. Nagano
[aut] (<https://orcid.org/0000-0001-7891-5049>) |
| Maintainer: |
Yasuhiro Sato <sato.yasuhiro.36c at kyoto-u.jp> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Citation: |
rNeighborGWAS citation info |
| CRAN checks: |
rNeighborGWAS results |