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.
Quantitative genetics tool supporting the modelling of multivariate genetic variance structures in quantitative data. It allows fitting different models through multivariate genetic-relationship-matrix (GRM) structural equation modelling (SEM) in unrelated individuals, using a maximum likelihood approach. Specifically, it combines genome-wide genotyping information, as captured by GRMs, with twin-research-based SEM techniques, St Pourcain et al. (2017) <doi:10.1016/j.biopsych.2017.09.020>, Shapland et al. (2020) <doi:10.1101/2020.08.14.251199>.
Version: | 1.1.0 |
Depends: | R (≥ 3.5) |
Imports: | msm (≥ 1.6), numDeriv, optimParallel, stats, utils |
Suggests: | bookdown, knitr, rmarkdown, testthat |
Published: | 2021-01-29 |
DOI: | 10.32614/CRAN.package.grmsem |
Author: | Beate StPourcain [aut, cre], Alexander Klassmann [ctb] |
Maintainer: | Beate StPourcain <Beate.StPourcain at mpi.nl> |
BugReports: | https://gitlab.gwdg.de/beate.stpourcain/grmsem/-/issues |
License: | GPL-3 |
URL: | https://CRAN.R-project.org/package=grmsem, https://gitlab.gwdg.de/beate.stpourcain/grmsem |
NeedsCompilation: | no |
CRAN checks: | grmsem results |
Reference manual: | grmsem.pdf |
Vignettes: |
Vignette for package *grmsem* |
Package source: | grmsem_1.1.0.tar.gz |
Windows binaries: | r-devel: grmsem_1.1.0.zip, r-release: grmsem_1.1.0.zip, r-oldrel: grmsem_1.1.0.zip |
macOS binaries: | r-release (arm64): grmsem_1.1.0.tgz, r-oldrel (arm64): grmsem_1.1.0.tgz, r-release (x86_64): grmsem_1.1.0.tgz, r-oldrel (x86_64): grmsem_1.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=grmsem 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.