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rMVP: Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS Tool

A memory-efficient, visualize-enhanced, parallel-accelerated Genome-Wide Association Study (GWAS) tool. It can (1) effectively process large data, (2) rapidly evaluate population structure, (3) efficiently estimate variance components several algorithms, (4) implement parallel-accelerated association tests of markers three methods, (5) globally efficient design on GWAS process computing, (6) enhance visualization of related information. 'rMVP' contains three models GLM (Alkes Price (2006) <doi:10.1038/ng1847>), MLM (Jianming Yu (2006) <doi:10.1038/ng1702>) and FarmCPU (Xiaolei Liu (2016) <doi:10.1371/journal.pgen.1005767>); variance components estimation methods EMMAX (Hyunmin Kang (2008) <doi:10.1534/genetics.107.080101>;), FaSTLMM (method: Christoph Lippert (2011) <doi:10.1038/nmeth.1681>, R implementation from 'GAPIT2': You Tang and Xiaolei Liu (2016) <doi:10.1371/journal.pone.0107684> and 'SUPER': Qishan Wang and Feng Tian (2014) <doi:10.1371/journal.pone.0107684>), and HE regression (Xiang Zhou (2017) <doi:10.1214/17-AOAS1052>).

Version: 1.0.8
Depends: R (≥ 3.3)
Imports: utils, stats, methods, graphics, grDevices, MASS, bigmemory
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppProgress, BH, bigmemory
Suggests: knitr, testthat, rmarkdown
Published: 2023-11-27
Author: Lilin Yin [aut], Haohao Zhang [aut], Zhenshuang Tang [aut], Jingya Xu [aut], Dong Yin [aut], Zhiwu Zhang [aut], Xiaohui Yuan [aut], Mengjin Zhu [aut], Shuhong Zhao [aut], Xinyun Li [aut], Qishan Wang [ctb], Feng Tian [ctb], Hyunmin Kang [ctb], Xiang Zhou [ctb], Xiaolei Liu [cre, aut, cph]
Maintainer: Xiaolei Liu <xll198708 at gmail.com>
BugReports: https://github.com/xiaolei-lab/rMVP/issues
License: Apache License 2.0
URL: https://github.com/xiaolei-lab/rMVP
NeedsCompilation: yes
Materials: ChangeLog
In views: Agriculture
CRAN checks: rMVP results

Documentation:

Reference manual: rMVP.pdf

Downloads:

Package source: rMVP_1.0.8.tar.gz
Windows binaries: r-devel: rMVP_1.0.8.zip, r-release: rMVP_1.0.8.zip, r-oldrel: rMVP_1.0.8.zip
macOS binaries: r-release (arm64): rMVP_1.0.8.tgz, r-oldrel (arm64): rMVP_1.0.8.tgz, r-release (x86_64): rMVP_1.0.8.tgz, r-oldrel (x86_64): rMVP_1.0.8.tgz
Old sources: rMVP archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rMVP to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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