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>.
Package details |
|
---|---|
Author | Beate StPourcain [aut, cre] (<https://orcid.org/0000-0002-4680-3517>), Alexander Klassmann [ctb] |
Maintainer | Beate StPourcain <Beate.StPourcain@mpi.nl> |
License | GPL-3 |
Version | 1.1.0 |
URL | https://CRAN.R-project.org/package=grmsem https://gitlab.gwdg.de/beate.stpourcain/grmsem |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.