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 sachaepskamp.com>
License:	GPL-2
Copyright:	see file COPYRIGHTS
NeedsCompilation:	no
Materials:	NEWS
In views:	GraphicalModels, Psychometrics
CRAN checks:	lvnet results

Documentation:

Reference manual:

lvnet.pdf

Downloads:

Package source:	lvnet_0.3.5.tar.gz
Windows binaries:	r-devel: lvnet_0.3.5.zip, r-release: lvnet_0.3.5.zip, r-oldrel: lvnet_0.3.5.zip
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

Linking:

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