rMVP
1.4.6Memory-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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 5 earlier snapshots
- NOTE2026-04-2212 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1811 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-04-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-0911 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-154 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 27%
- Documented parameters
- 99%
- Return-value docs
- 94%
- References docs
- 0%
Downloads
Repository
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Repository practices
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/xiaolei-lab/rmvp on 2026-08-09.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
17 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.4.6Latest
- unarchivedReturned to CRAN2026-03-14
- 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 ↗
- 1.1.12024-08-31 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.0.82023-11-27 · diff ↗
- 1.0.72023-09-01 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
Show 14 earlier events
- 1.0.62021-04-18 · diff ↗
- 1.0.52021-03-02 · diff ↗
- 1.0.42020-09-01 · diff ↗
- 1.0.32020-07-17 · diff ↗
- 1.0.02020-05-07 · diff ↗
- unarchivedReturned to CRAN2020-05-07
- 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
- 0.99.182020-03-19 · diff ↗
- unarchivedReturned to CRAN2020-03-19
- 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
- 2026-03-14
- Total releases
- 17 / 1 yrs
- License
- Apache License 2.0 OSI
- Minimum R
- ≥ 3.3
- Bundled data
- 777 KB / 1 file
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("rMVP")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
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