lvnetRefit

Output of <code><a rd-options="" href="/link/lvnet?package=lvnet&version=0.3.5" data-mini-rdoc="lvnet::lvnet">lvnet</a></code>.

lvnetObject

New dataset or variance-covariance matrix.

data

Sample size (if <code>data</code> is a variance-covariance matrix).

sampleSize

Obtain fit indices from the estimated model parameters on a new dataset.

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>.

Sacha Epskamp

lvnet

Latent Variable Network Modeling

lvnetRefit function

Output of <code><a rd-options='' href='lvnet'>lvnet</a></code>.

lvnetRefit: Refit lvnet model to new data

Description

Usage

Arguments