mrMLM: Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for Genome-Wide Association Study

Conduct multi-locus genome-wide association study under the framework of random-SNP-effect mixed linear model (mrMLM). First, each marker on the genome is scanned. Bonferroni correction is replaced by a less stringent selection criterion for significant test. Then, all the markers that are potentially associated with the trait are included in a multi-locus model, their effects are estimated by empirical Bayes and true QTN are identified by likelihood ratio test.

Version: 3.0
Depends: MASS, data.table, doParallel, foreach
Imports: methods, openxlsx, stringr, qqman, ggplot2, lars, ncvreg, coin, sampling
Published: 2018-03-12
Author: Zhang Ya-Wen, Li Pei, Ren Wen-Long, Ni Yuan-Li, and Zhang Yuan-Ming
Maintainer: Yuanming Zhang <soyzhang at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: mrMLM results


Reference manual: mrMLM.pdf
Package source: mrMLM_3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: mrMLM_3.0.tgz, r-oldrel: mrMLM_3.0.tgz
Old sources: mrMLM archive

Reverse dependencies:

Reverse imports: mrMLM.GUI


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