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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 |
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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.