rNeighborGWAS: Testing Neighbor Effects in Marker-Based Regressions
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: | 1.2.5 |
| Imports: | gaston,Matrix,RcppParallel, stats, graphics |
| Suggests: | knitr,rmarkdown,testthat |
| Published: | 2025-04-23 |
| DOI: | 10.32614/CRAN.package.rNeighborGWAS |
| 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 |
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