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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 |
| 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 |
| Reference manual: | lvnet.pdf |
| 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 |
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