psychonetrics-package: Structural Equation Modeling and Confirmatory Network...

psychonetrics-packageR Documentation

Structural Equation Modeling and Confirmatory Network Analysis

Description

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.

Details

The DESCRIPTION file: This package was not yet installed at build time.
Index: This package was not yet installed at build time.
This package can be used to perform Structural Equation Modeling and confirmatory network modeling. Current implemented families of models are (1) the variance–covariance matrix (varcov), (2) the latent variable model (lvm), (3) the lag-1 vector autoregression model (var1), and (4) the dynamical lag-1 latent variable model for panel data (dlvm1) and for time-series data (tsdlvm1).

Author(s)

Sacha Epskamp

Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

References

More information: psychonetrics.org


psychonetrics documentation built on May 29, 2024, 3:13 a.m.