MonteCarloSEM: Monte Carlo Data Simulation Package

Monte Carlo simulation allows to test 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.

Version: 0.0.1
Imports: Matrix, stats, utils, lavaan
Published: 2020-09-22
Author: Fatih Orcan ORCID iD [aut, cre]
Maintainer: Fatih Orcan <fatihorcan84 at>
License: GPL-3
Copyright: Fatih Orcan, Trabzon University, Turkey
NeedsCompilation: no
CRAN checks: MonteCarloSEM results


Reference manual: MonteCarloSEM.pdf
Package source: MonteCarloSEM_0.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: MonteCarloSEM_0.0.1.tgz, r-oldrel: MonteCarloSEM_0.0.1.tgz


Please use the canonical form to link to this page.