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

Documentation:

Reference manual:	rNeighborGWAS.html , rNeighborGWAS.pdf
Vignettes:	rNeighborGWAS (source, R code)

Downloads:

Package source:	rNeighborGWAS_1.2.5.tar.gz
Windows binaries:	r-devel: rNeighborGWAS_1.2.5.zip, r-release: rNeighborGWAS_1.2.5.zip, r-oldrel: rNeighborGWAS_1.2.5.zip
macOS binaries:	r-release (arm64): rNeighborGWAS_1.2.5.tgz, r-oldrel (arm64): rNeighborGWAS_1.2.5.tgz, r-release (x86_64): rNeighborGWAS_1.2.5.tgz, r-oldrel (x86_64): rNeighborGWAS_1.2.5.tgz
Old sources:	rNeighborGWAS archive

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