Monte Carlo Simulation for Structural Equation Modeling

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Documentation for package ‘MonteCarloSEM’ version 2.0.0

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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