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 ORCID iD [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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=grmsem to link to this page.