MonteCarloSEM: Monte Carlo Simulation for Structural Equation Modeling

Provides tools to conduct Monte Carlo simulations under different conditions (e.g., varying sample size, data normality) for structural equation models (SEMs). Data can be simulated based on user-defined factor loadings and correlations, with optional non-normality added via Fleishman's power method (1978) <doi:10.1007/BF02293811>. Once generated, models can be estimated using 'lavaan'. This package facilitates testing model performance across multiple simulation scenarios. When data generation is completed (or when generated data sets are given) model tests can also be run. Please cite as "Orçan, F. (2021). MonteCarloSEM An R Package to Simulate Data for SEM. International Journal of Assessment Tools in Education, 8 (3), 704-713."

Version:	2.0.0
Imports:	Matrix, stats, utils, lavaan
Published:	2026-01-28
DOI:	10.32614/CRAN.package.MonteCarloSEM
Author:	Fatih Orçan [aut, cre]
Maintainer:	Fatih Orçan <fatihorcan84 at gmail.com>
License:	GPL-3
Copyright:	Fatih Orçan, Kahramanmaraş Sütçü İmam University, Türkiye
NeedsCompilation:	no
CRAN checks:	MonteCarloSEM results

Documentation:

Reference manual:

MonteCarloSEM.html , MonteCarloSEM.pdf

Downloads:

Package source:	MonteCarloSEM_2.0.0.tar.gz
Windows binaries:	r-devel: MonteCarloSEM_0.0.8.zip, r-release: MonteCarloSEM_0.0.8.zip, r-oldrel: MonteCarloSEM_0.0.8.zip
macOS binaries:	r-release (arm64): MonteCarloSEM_2.0.0.tgz, r-oldrel (arm64): MonteCarloSEM_2.0.0.tgz, r-release (x86_64): MonteCarloSEM_2.0.0.tgz, r-oldrel (x86_64): MonteCarloSEM_2.0.0.tgz
Old sources:	MonteCarloSEM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MonteCarloSEM to link to this page.