R: Monte Carlo Simulation for Structural Equation Modeling

# Monte Carlo Simulation for Structural Equation Modeling

## Documentation for package ‘MonteCarloSEM’ version 2.0.0

- DESCRIPTION file

## Help Pages

categorize | Generates Categorical Data Sets from Continuous Data.
cov.mtx | Simulates Correlation matrix by a given SEM model.
fcors.value | Specifies the Factor Correlation Matrix for a Model
fit.simulation | Fits Structural Equation Models to Simulated Data Using lavaan.
loading.value | Specifies Factor Loading Values for a Model.
MAR.data | Introduces Missing at Random (MAR) Values into Data Sets.
MCAR.data | Introduces Missing Completely at Random (MCAR) Values into Data Sets.
MNAR.data | Introduces Missing Not at Random (MNAR) Values into Data Sets
sim.categoric | Simulates Categorical Data Sets Based on a Structural Equation Model (SEM).
sim.normal | Simulates Data Sets Based on a Structural Equation Model (SEM).
sim.skewed | Simulates Data Sets from a Structural Equation Model (SEM) with Normal or Non-Normal Distributions