grmsem: Genetic-Relationship-Matrix Structural Equation Modelling(GRMSEM)
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 |
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