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lvnet (version 0.3.5)

Latent Variable Network Modeling

Description

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) .

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Version

Install

install.packages('lvnet')

Monthly Downloads

267

Version

0.3.5

License

GPL-2

Maintainer

Last Published

June 21st, 2019

Functions in lvnet (0.3.5)

lvnetCompare

Compare lvnet objects
summary.lvnet

Summary method for lvnet
lvnetSearch

Step-wise exploratory search for optimal fitting model
lav2lvnet

Convert lavaan model to lvnet model matrices
lvglasso

Latent variable graphical LASSO
plot.lvnet

Plot model matrices
lvnet

Confirmatory Latent Variable Network Models
lassoSelect

Update lvnatLasso results to select a different model
EBIClvglasso

Latent variable graphical LASSO using EBIC to select optimal tuning parameter
lvnetRefit

Refit lvnet model to new data
lvnetLasso

LASSO model selection