gwsem: Genome-Wide Structural Equation Modeling

Melds genome-wide association tests with structural equation modeling (SEM) using 'OpenMx'. This package contains low-level C/C++ code to rapidly read genetic data encoded in U.K. Biobank or 'plink' formats. Prebuilt modeling options include one and two factor models. Alternately, analyses may utilize arbitrary, user-provided SEMs. See Verhulst, Maes, & Neale (2017) <doi:10.1007/s10519-017-9842-6> for details. An updated manuscript is in preparation.

Version: 0.1.17
Depends: R (≥ 3.5), OpenMx (≥ 2.15.5)
Imports: data.table, methods, qqman, Rcpp, lifecycle
LinkingTo: BH (≥ 1.69.0-1), Rcpp
Suggests: testthat (≥ 2.1.0), MASS, covr, knitr, rmarkdown
Published: 2020-03-27
Author: Joshua N. Pritikin [aut, cre], Bradley Verhulst [cph], Gavin Band [cph], Yann Collet [cph], Facebook, Inc. [cph], Yuta Mori [cph], Shaun Purcell [cph], Christopher Chang [cph], Wojciech Mula [cph], Kim Walisch [cph]
Maintainer: Joshua N. Pritikin <jpritikin at>
License: GPL (≥ 3)
NeedsCompilation: yes
SystemRequirements: GNU make
Language: en-US
Materials: README NEWS
CRAN checks: gwsem results


Reference manual: gwsem.pdf
Vignettes: growth
Package source: gwsem_0.1.17.tar.gz
Windows binaries: r-prerelease:, r-release:, r-oldrel:
macOS binaries: r-prerelease: gwsem_0.1.17.tgz, r-release: gwsem_0.1.17.tgz, r-oldrel: not available
Old sources: gwsem archive


Please use the canonical form to link to this page.