mrMLM: Multi-Locus Random-SNP-Effect Mixed Linear Model for Genome-Wide Association Studies and Linkage Analyses

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

Version: 2.1
Depends: gWidgets, gWidgetsRGtk2, RGtk2Extras, MASS
Imports: RGtk2, methods, openxlsx, stringr, qqman, ggplot2, lars, ncvreg
Published: 2017-02-09
Author: Wenlong Ren,Yuanli Ni,Shibo Wang,Yangjun Wen,Bo Huang and Yuanming Zhang
Maintainer: Yuanming Zhang <soyzhang at mail.hzau.edu.cn>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: mrMLM results

Downloads:

Reference manual: mrMLM.pdf
Package source: mrMLM_2.1.tar.gz
Windows binaries: r-devel: mrMLM_2.1.zip, r-release: mrMLM_2.1.zip, r-oldrel: mrMLM_2.1.zip
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: mrMLM_2.1.tgz
Old sources: mrMLM archive

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