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 multi-locus 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 genetic model, their effects are estimated by empirical Bayes and all the nonzero effects were further identified by likelihood ratio test for true QTL. Wen YJ, Zhang H, Ni YL, Huang B, Zhang J, Feng JY, Wang SB, Dunwell JM, Zhang YM, Wu R (2018) <doi:10.1093/bib/bbw145>.

Version: 4.0.2
Depends: R (≥ 3.5.0), lars
Imports: Rcpp (≥ 0.12.14), methods, foreach, ncvreg, coin (≥ 1.1-0), sampling, data.table, doParallel, sbl
LinkingTo: Rcpp, RcppEigen
Published: 2020-10-08
Author: Zhang Ya-Wen, Li Pei, and Zhang Yuan-Ming
Maintainer: Yuanming Zhang <soyzhang at mail.hzau.edu.cn>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: mrMLM results

Downloads:

Reference manual: mrMLM.pdf
Package source: mrMLM_4.0.2.tar.gz
Windows binaries: r-devel: mrMLM_4.0.2.zip, r-release: mrMLM_4.0.2.zip, r-oldrel: mrMLM_4.0.2.zip
macOS binaries: r-release: mrMLM_4.0.2.tgz, r-oldrel: mrMLM_4.0.2.tgz
Old sources: mrMLM archive

Reverse dependencies:

Reverse imports: mrMLM.GUI

Linking:

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