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) , Shapland et al. (2020) .


Reference manual

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1.1.0 by Beate StPourcain, a year ago,

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Browse source code at

Authors: Beate StPourcain [aut, cre] , Alexander Klassmann [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports msm, numDeriv, optimParallel, stats, utils

Suggests bookdown, knitr, rmarkdown, testthat

See at CRAN