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: | 0.99.18 |
Depends: | R (≥ 3.3), bigmemory |
Imports: | utils, stats, methods, graphics, grDevices, MASS, Rcpp |
LinkingTo: | Rcpp, RcppEigen, RcppProgress, BH, bigmemory |
Suggests: | knitr, testthat, rmarkdown |
Published: | 2020-03-19 |
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 <xiaoleiliu at mail.hzau.edu.cn> |
BugReports: | https://github.com/XiaoleiLiuBio/rMVP/issues |
License: | Apache License 2.0 |
URL: | https://github.com/XiaoleiLiuBio/rMVP |
NeedsCompilation: | yes |
SystemRequirements: | C++11 |
Materials: | ChangeLog |
CRAN checks: | rMVP results |
Reference manual: | rMVP.pdf |
Package source: | rMVP_0.99.18.tar.gz |
Windows binaries: | r-devel: not available, r-devel-gcc8: not available, r-release: rMVP_0.99.18.zip, r-oldrel: rMVP_0.99.18.zip |
OS X binaries: | r-release: rMVP_0.99.18.tgz, r-oldrel: rMVP_0.99.18.tgz |
Old sources: | rMVP archive |
Please use the canonical form https://CRAN.R-project.org/package=rMVP to link to this page.