Overview | Input files | convert "TTN" genotype data into a rNeighborGWAS format | simulate "fake_nei" dataset using nei_simu() | Association mapping | Binary phenotype | References
Package: rNeighborGWAS 1.2.5
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:
rNeighborGWAS_1.2.5.tar.gz
rNeighborGWAS_1.2.5.zip(r-4.7-any)rNeighborGWAS_1.2.5.zip(r-4.6-any)
rNeighborGWAS_1.2.5.tar.gz(r-4.7-any)rNeighborGWAS_1.2.5.tar.gz(r-4.6-any)
rNeighborGWAS_1.2.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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.
Last updated from:9ee528022c. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 170 | ||
| source / vignettes | OK | 203 | ||
| linux-release | OK | 179 | ||
| windows-devel | OK | 123 | ||
| windows-release | OK | 140 | ||
| wasm-release | OK | 153 |
Exports:calc_PVEneidelta_PVEgaston2neiGWASmin_distnei_covalnei_lmnei_lmmnei_simuneiGWAS
