lvnet: Latent Variable Network Modeling

Estimate, fit and compare Structural Equation Models (SEM) and network models (Gaussian Graphical Models; GGM) using OpenMx. Allows for two possible generalizations to include GGMs in SEM: GGMs can be used between latent variables (latent network modeling; LNM) or between residuals (residual network modeling; RNM). For details, see Epskamp, Rhemtulla and Borsboom (2017) <doi:10.1007/s11336-017-9557-x>.

Version: 0.3.5
Depends: R (≥ 3.2.0), OpenMx
Imports: glasso, qgraph, Matrix, psych, mvtnorm, parallel, corpcor, dplyr, methods, lavaan, semPlot
Published: 2019-06-21
DOI: 10.32614/CRAN.package.lvnet
Author: Sacha Epskamp
Maintainer: Sacha Epskamp <mail at>
License: GPL-2
Copyright: see file COPYRIGHTS
NeedsCompilation: no
Materials: NEWS
In views: GraphicalModels, Psychometrics
CRAN checks: lvnet results


Reference manual: lvnet.pdf


Package source: lvnet_0.3.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): lvnet_0.3.5.tgz, r-oldrel (arm64): lvnet_0.3.5.tgz, r-release (x86_64): lvnet_0.3.5.tgz, r-oldrel (x86_64): lvnet_0.3.5.tgz
Old sources: lvnet archive


Please use the canonical form to link to this page.