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 |
Documentation:
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