Useful tools for structural equation modeling.


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Documentation for package ‘semTools’ version 0.2-8

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auxiliary Analyzing data with full-information maximum likelihood with auxiliary variables
cfa.mi Multiply impute and analyze data using lavaan
clipboard Copy or save the result of 'lavaan' object into a clipboard or a file
dat2way Simulated Dataset to Demonstrate Two-way Latent Interaction
dat3way Simulated Dataset to Demonstrate Three-way Latent Interaction
exLong Simulated Data set to Demonstrate Longitudinal Measurement Invariance
findRMSEApower Find the statistical power based on population RMSEA
findRMSEAsamplesize Find the minimum sample size for a given statistical power based on population RMSEA
growth.mi Multiply impute and analyze data using lavaan
indProd Make products of indicators using no centering, mean centering, double-mean centering, or residual centering
inspect-method Class For Representing A (Fitted) Latent Variable Model with Additional Elements
kurtosis Finding excessive kurtosis
lavaan.mi Multiply impute and analyze data using lavaan
lavaanStar-class Class For Representing A (Fitted) Latent Variable Model with Additional Elements
loadingFromAlpha Find standardized factor loading from coefficient alpha
longInvariance Measurement Invariance Tests Within Person
mardiaKurtosis Finding Mardia's multivariate kurtosis
mardiaSkew Finding Mardia's multivariate skewness
measurementInvariance Measurement Invariance Tests
measurementinvariance Measurement Invariance Tests
miPowerFit Modification indices and their power approach for model fit evaluation
monteCarloMed Monte Carlo Confidence Intervals to Test Complex Indirect Effects
moreFitIndices Calculate more fit indices
orthogonalize Make products of indicators using no centering, mean centering, double-mean centering, or residual centering
parcelAllocation Random Allocation of Items to Parcels in a Structural Equation Model
plotProbe Plot the graphs for probing latent interaction
plotRMSEAdist Plot the sampling distributions of RMSEA
plotRMSEApower Plot power curves for RMSEA
probe2WayMC Probing two-way interaction on the residual-centered latent interaction
probe2WayRC Probing two-way interaction on the residual-centered latent interaction
probe3WayMC Probing two-way interaction on the residual-centered latent interaction
probe3WayRC Probing three-way interaction on the residual-centered latent interaction
residualCovariate Residual centered all target indicators by covariates
runMI Multiply impute and analyze data using lavaan
saveFile Copy or save the result of 'lavaan' object into a clipboard or a file
sem.mi Multiply impute and analyze data using lavaan
simParcel Simulated Data set to Demonstrate Random Allocations of Parcels
skew Finding skewness
splitSample Randomly Split a Data Set into Halves
summary-method Class For Representing A (Fitted) Latent Variable Model with Additional Elements