MonteCarloSEM: Monte Carlo Data Simulation Package

Monte Carlo simulation allows testing different conditions given to the correct structural equation models. This package runs Monte Carlo simulations under different conditions (such as sample size or normality of data). Within the package data sets can be simulated and run based on the given model. First, continuous and normal data sets are generated based on the given model. Later Fleishman's power method (1978) <doi:10.1007/BF02293811> is used to add non-normality if exists. When data generation is completed (or when generated data sets are given) model test 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:	0.0.8
Imports:	Matrix, stats, utils, lavaan
Published:	2024-04-05
DOI:	10.32614/CRAN.package.MonteCarloSEM
Author:	Fatih Orcan [aut, cre]
Maintainer:	Fatih Orcan <fatihorcan84 at gmail.com>
License:	GPL-3
Copyright:	Fatih Orcan, Kahramanmaras Sutcu Imam University, Turkey
NeedsCompilation:	no
CRAN checks:	MonteCarloSEM results

Documentation:

Reference manual:

MonteCarloSEM.pdf

Downloads:

Package source:	MonteCarloSEM_0.0.8.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_0.0.8.tgz, r-oldrel (arm64): MonteCarloSEM_0.0.8.tgz, r-release (x86_64): MonteCarloSEM_0.0.8.tgz, r-oldrel (x86_64): MonteCarloSEM_0.0.8.tgz
Old sources:	MonteCarloSEM archive

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