The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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), shiny, lars |
Imports: | Rcpp (≥ 0.12.14), methods, foreach, ncvreg, coin, shinyjs, data.table, doParallel, sampling, bigmemory, mrMLM, sbl |
LinkingTo: | Rcpp, RcppEigen |
Published: | 2020-10-08 |
DOI: | 10.32614/CRAN.package.mrMLM.GUI |
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.GUI results |
Reference manual: | mrMLM.GUI.pdf |
Package source: | mrMLM.GUI_4.0.2.tar.gz |
Windows binaries: | r-devel: mrMLM.GUI_4.0.2.zip, r-release: mrMLM.GUI_4.0.2.zip, r-oldrel: mrMLM.GUI_4.0.2.zip |
macOS binaries: | r-release (arm64): mrMLM.GUI_4.0.2.tgz, r-oldrel (arm64): mrMLM.GUI_4.0.2.tgz, r-release (x86_64): mrMLM.GUI_4.0.2.tgz, r-oldrel (x86_64): mrMLM.GUI_4.0.2.tgz |
Old sources: | mrMLM.GUI archive |
Please use the canonical form https://CRAN.R-project.org/package=mrMLM.GUI to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.