Package: mas 0.4

mas: Multi-Population Association Studies

Mixed model-based genome-wide association analysis that accommodate population membership information, variance adjustment, and correlated responses.

Authors:Alencar Xavier [aut, cre], Shizhong Xu [aut, ctb]

mas_0.4.tar.gz
mas_0.4.zip(r-4.7)mas_0.4.zip(r-4.6)mas_0.4.zip(r-4.5)
mas_0.4.tgz(r-4.6-x86_64)mas_0.4.tgz(r-4.6-arm64)mas_0.4.tgz(r-4.5-x86_64)mas_0.4.tgz(r-4.5-arm64)
mas_0.4.tar.gz(r-4.7-arm64)mas_0.4.tar.gz(r-4.7-x86_64)mas_0.4.tar.gz(r-4.6-arm64)mas_0.4.tar.gz(r-4.6-x86_64)
mas_0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mas/json (API)

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

Bug tracker:https://github.com/alenxav/mas/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • map - Soybean dataset
  • pop - Soybean dataset
  • y - Soybean dataset
  • Y - Soybean dataset
  • Z - Soybean dataset

On CRAN:

Conda:

cpp

3.00 score 2 scripts 233 downloads 6 exports 4 dependencies

Last updated from:1c49481e6b. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK155
linux-devel-x86_64OK166
source / vignettesOK251
linux-release-arm64OK158
linux-release-x86_64OK160
macos-release-arm64OK183
macos-release-x86_64OK274
macos-oldrel-arm64OK140
macos-oldrel-x86_64OK226
windows-develOK217
windows-releaseOK154
windows-oldrelOK179
wasm-releaseOK126

Exports:CorrectBeavisgwasGWASMLMplot.GenModelprint.GenModel

Dependencies:evdRcppRcppEigentruncdist

Readme and manuals

Help Manual

Help pageTopics
Multi-Population Association Studiesmas-package mas
Genome-Wide Association StudiesCorrectBeavis GWAS gwas MLM plot.GenModel print.GenModel
Soybean datasetmap pop Y y Z