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
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:

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

Downloads:

Package source:	grmsem_1.1.0.tar.gz
Windows binaries:	r-devel: grmsem_1.1.0.zip, r-release: grmsem_1.1.0.zip, r-oldrel: grmsem_1.1.0.zip
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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