Package: rNeighborGWAS 1.2.4

Yasuhiro Sato

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>.

Authors:Yasuhiro Sato [aut, cre], Eiji Yamamoto [aut], Kentaro K. Shimizu [aut], Atsushi J. Nagano [aut]

rNeighborGWAS_1.2.4.tar.gz
rNeighborGWAS_1.2.4.tar.gz(r-4.5-noble)rNeighborGWAS_1.2.4.tar.gz(r-4.4-noble)
rNeighborGWAS_1.2.4.tgz(r-4.4-emscripten)rNeighborGWAS_1.2.4.tgz(r-4.3-emscripten)
rNeighborGWAS.pdf |rNeighborGWAS.html✨
rNeighborGWAS/json (API)

# Install 'rNeighborGWAS' in R:
install.packages('rNeighborGWAS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.30 score 237 downloads 2 mentions 9 exports 6 dependencies

Last updated 4 years agofrom:febf1af3f2. Checks:1 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 27 2025
R-4.5-linuxNOTEJan 27 2025

Exports:calc_PVEneidelta_PVEgaston2neiGWASmin_distnei_covalnei_lmnei_lmmnei_simuneiGWAS

Dependencies:gastonlatticeMatrixRcppRcppEigenRcppParallel

rNeighborGWAS

Rendered fromrNeighborGWAS.Rmdusingknitr::rmarkdownon Jan 27 2025.

Last update: 2021-04-07
Started: 2020-04-15