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. (2019) <doi:10.1101/845735>.

Version: 1.2.1
Depends: R (≥ 2.10)
Imports: gaston, Matrix, stats, graphics, RcppParallel
Suggests: knitr, rmarkdown, testthat
Published: 2020-07-22
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
Materials: README
CRAN checks: rNeighborGWAS results


Reference manual: rNeighborGWAS.pdf
Vignettes: rNeighborGWAS
Package source: rNeighborGWAS_1.2.1.tar.gz
Windows binaries: r-devel: rNeighborGWAS_1.2.1.zip, r-release: rNeighborGWAS_1.2.1.zip, r-oldrel: rNeighborGWAS_1.2.1.zip
macOS binaries: r-release: rNeighborGWAS_1.2.1.tgz, r-oldrel: rNeighborGWAS_1.2.1.tgz
Old sources: rNeighborGWAS archive


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