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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=lvnet to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4