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 |
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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