Version 1.2.1

Changes:

• New in v1.2.1:
  • Fixed an issue with generating data from non-normal distributions
  • Accepted both column and row vectors for Wp and Cp
  • Added VERSION.txt file

Full Changelog: v1.2.0...v1.2.1

Version 1.2.0

Changes:

• New in v1.2.0: Added support for generating data from SEMs with higher-order constructs.

Full Changelog: v1.1.0...v1.2.0

Version 1.1.0

Changes:

• New in v1.1.0: Added support for generating data from SEMs with component interactions.

Full Changelog: v1.0.0...v1.1.0

v1.0.0

DGP-SEM_Pro

Version 1.0.0

Author:

Gyeongcheol Cho

Description:

• The DGP-SEM_Pro package allows users to generate implied covariance matrices of indicators and simulate data from structural equation models (SEM) with factors and/or components.

Features:

• Derive implied covariance matrices from linear structural equation models with factors and/or components.
• Randomly generate data from the model for simulation purposes.

Usage:

• To see examples of how to use the package, refer to the "Run_Example_...".m file. This file demonstrates how to derive implied covariance matrices and generate simulation data using the package.

Compatibility:

• Tested on MATLAB R2023b.
• Likely compatible with earlier MATLAB versions.

Future Update

• A version of this package will be released for R in the near future.
• More complex model structures will be accommodated.

Citation (APA):

• If you use DGP-SEM_Pro in your research or publication, please cite it in APA format as follows:

Cho, G. (2024). DGP-SEM_Pro: A package for generating data from structural equation models [Computer software]. GitHub. https://github.com/PsycheMatrica/DGP-SEM_Pro