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: 1.2.4
Imports: gaston, Matrix, RcppParallel, stats, graphics
Suggests: knitr, rmarkdown, testthat
Published: 2021-05-10
Author: Yasuhiro Sato ORCID iD [aut, cre], Eiji Yamamoto [aut], Kentaro K. Shimizu ORCID iD [aut], Atsushi J. Nagano ORCID iD [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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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-release (x86_64): rNeighborGWAS_1.2.4.tgz, r-oldrel: rNeighborGWAS_1.2.4.tgz
Old sources: rNeighborGWAS archive

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