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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], 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_1.2.4.tar.gz |
Windows binaries: | r-devel: rNeighborGWAS_1.2.4.zip, r-release: rNeighborGWAS_1.2.4.zip, r-oldrel: rNeighborGWAS_1.2.4.zip |
macOS binaries: | r-release (arm64): rNeighborGWAS_1.2.4.tgz, r-oldrel (arm64): rNeighborGWAS_1.2.4.tgz, r-release (x86_64): rNeighborGWAS_1.2.4.tgz, r-oldrel (x86_64): rNeighborGWAS_1.2.4.tgz |
Old sources: | rNeighborGWAS archive |
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These binaries (installable software) and packages are in development.
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