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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=grmsem to link to this page.
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