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 ORCID iD [aut, cre], Alexander Klassmann [ctb]
Maintainer: Beate StPourcain <Beate.StPourcain at>
License: GPL-3
NeedsCompilation: no
CRAN checks: grmsem results


Reference manual: grmsem.pdf
Vignettes: Vignette for package *grmsem*


Package source: grmsem_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): grmsem_1.1.0.tgz, r-oldrel (arm64): grmsem_1.1.0.tgz, r-release (x86_64): grmsem_1.1.0.tgz, r-oldrel (x86_64): grmsem_1.1.0.tgz


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