Latent Variable Network Modeling
Latent variable graphical LASSO using EBIC to select optimal tuning pa...
Update lvnatLasso results to select a different model
Convert lavaan model to lvnet model matrices
Latent variable graphical LASSO
Confirmatory Latent Variable Network Models
Compare lvnet objects
LASSO model selection
Refit lvnet model to new data
Step-wise exploratory search for optimal fitting model
Plot model matrices
Summary method for lvnet
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>.