Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS Tool
Overview
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).
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK12 OK2026-04-25
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- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
- NOTE12 OK, 2 NOTE2026-04-10
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-09
- NOTE4 OK, 2 NOTE2026-03-15
Documentation
- Help pages
- 29 (1 internal)
- Examples that run
- 27%7 run in a plain check · 19 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 94%
- Documented parameters
- 99%
- Return-value docs
- 94%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 75%
- Median days to close, 50 most recently updated closed issues
- 74
- Median days to close, 50 most recently updated closed PRs
- 1
Stars over time
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3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/xiaolei-lab/rmvp on 2026-10-11.
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- Claude Codefirst seen on or before 2026-02-28Commits: at least 5 crediting it in the message
- Claude Sonnet 4.65 commits · Feb to Mar 2026
Dependencies
Installing rMVP adds 9 packages (6 with compiled code, 19 MB of source tarballs). Heaviest: BH 14 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- unarchivedReturned to CRAN2026-03-14
- 1.4.6Latest
- archivedRemoved from CRAN2026-02-13issues were not corrected in time
- 1.4.52025-07-23 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 1.4.02025-01-22 · diff ↗
- 1.3.52025-01-10 · diff ↗
- 1.3.02024-12-17 · diff ↗
- 1.1.1
- RR 4.4.0 released · 2024-04-24
- 1.0.82023-11-27 · diff ↗
- 1.0.7
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
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- 1.0.62021-04-18 · diff ↗
- 1.0.52021-03-02 · diff ↗
- 1.0.42020-09-01 · diff ↗
- 1.0.32020-07-17 · diff ↗ ·
added 22 exports
MVP, MVP.BRENT.Vg.Ve, MVP.Data, MVP.Data.Kin, MVP.Data.PC, MVP.EMMA.Vg.Ve, MVP.FarmCPU, MVP.GLM, MVP.HE.Vg.Ve, MVP.Hist, MVP.K.VanRaden, MVP.MLM, MVP.PCA, MVP.PCAplot, MVP.Report, MVP.Report.Density, MVP.Report.QQplot, as.big.matrix, attach.big.matrix, deepcopy, is.big.matrix, new - unarchivedReturned to CRAN2020-05-07
- 1.0.02020-05-07 · diff ↗
- RR 4.0.0 released · 2020-04-24
- archivedRemoved from CRAN2020-04-03installation problems were not corrected in time required OpenMP Simple fix needed to issues reported by LTO
- unarchivedReturned to CRAN2020-03-19
- 0.99.182020-03-19 · diff ↗
- 0.99.172019-10-18 · diff ↗
- 0.99.162019-09-24 · diff ↗
- 0.99.152019-08-30
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-08-30
- Total releases
- 17 / 7 yrs
- License
- Apache License 2.0 OSI
- Minimum R
- ≥ 3.3
- Bundled data
- 777 KB / 1 file
- Download size
- 871 KB
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