Monte Carlo Data Simulation Package


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Documentation for package ‘MonteCarloSEM’ version 0.0.8

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categorize This function uses pre-given data sets to create categorical data sets for given thresholds.
fcors.value This function specifies the correlation matrix between the factors.
fit.simulation This function runs a model for simulated data by using the lavaan package.
loading.value This function specifies the factor loading values.
MAR.data This function inserts missingness (Missing at Random - MAR) into the given data sets.
MCAR.data This function inserts missingness (Missing Completely at Random - MCAR) into the given data sets.
MNAR.data This function inserts missingness (Missing Not at Random - MNAR) into the given data sets.
sim.categoric This function simulates (generates) categorical data sets by a given Confirmatory Factor Analysis model.
sim.normal This function simulates (generates) data sets by a given Confirmatory Factor Analysis model.
sim.skewed Simulates Data sets by a given Confirmatory Factor Analysis model.