bifactor

The data as used by <code><a rd-options="" href="/link/lvm?package=psychonetrics&version=0.7" data-mini-rdoc="psychonetrics::lvm">lvm</a></code>

data

The factor loadings matrix *without* the bifactor, as used by by <code><a rd-options="" href="/link/lvm?package=psychonetrics&version=0.7" data-mini-rdoc="psychonetrics::lvm">lvm</a></code>

lambda

A vector of names of the latent variables, as used by <code><a rd-options="" href="/link/lvm?package=psychonetrics&version=0.7" data-mini-rdoc="psychonetrics::lvm">lvm</a></code>

latents

Arguments sent to <code><a rd-options="" href="/link/lvm?package=psychonetrics&version=0.7" data-mini-rdoc="psychonetrics::lvm">lvm</a></code>

&#8230;

Wrapper to <code>lvm</code> to specify a bi-factor model.

Multi-group (dynamical) structural equation models in combination with confirmatory network models from cross-sectional, time-series and panel data <doi:10.31234/osf.io/8ha93>. Allows for confirmatory testing and fit as well as exploratory model search.

Sacha Epskamp

psychonetrics

Structural Equation Modeling and Confirmatory Network Analysis

bifactor function

The data as used by <code><a rd-options='' href='lvm'>lvm</a></code>

The factor loadings matrix *without* the bifactor, as used by by <code><a rd-options='' href='lvm'>lvm</a></code>

A vector of names of the latent variables, as used by <code><a rd-options='' href='lvm'>lvm</a></code>

Arguments sent to <code><a rd-options='' href='lvm'>lvm</a></code>

bifactor: Bi-factor models

Description

Usage

Arguments

Value