Useful Tools for Structural Equation Modeling


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Documentation for package ‘semTools’ version 0.4-12

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A B C D E F G H I K L M N O P Q R S T W

-- A --

anova-method Class For Representing A (Fitted) Latent Variable Model with Additional Elements
auxiliary Analyzing data with full-information maximum likelihood with auxiliary variables

-- B --

BootMiss-class Class For the Results of Bollen-Stine Bootstrap with Incomplete Data
boreal The Boreal Vegetation Dataset
bsBootMiss Bollen-Stine Bootstrap with the Existence of Missing Data

-- C --

cfa.auxiliary Analyzing data with full-information maximum likelihood with auxiliary variables
cfa.mi Multiply impute and analyze data using lavaan
ci.reliability Confidence Interval for a Reliability Coefficient
clipboard Copy or save the result of 'lavaan' or 'FitDiff' objects into a clipboard or a file
combinequark Combine the results from the quark function
compareFit Build an object summarizing fit indices across multiple models

-- D --

dat2way Simulated Dataset to Demonstrate Two-way Latent Interaction
dat3way Simulated Dataset to Demonstrate Three-way Latent Interaction
datCat Simulated Data set to Demonstrate Categorical Measurement Invariance

-- E --

EFA-class Class For Rotated Results from EFA
efaUnrotate Analyze Unrotated Exploratory Factor Analysis Model
exLong Simulated Data set to Demonstrate Longitudinal Measurement Invariance

-- F --

findRMSEApower Find the statistical power based on population RMSEA
findRMSEApowernested Find power given a sample size in nested model comparison
findRMSEAsamplesize Find the minimum sample size for a given statistical power based on population RMSEA
findRMSEAsamplesizenested Find sample size given a power in nested model comparison
FitDiff-class Class For Representing A Template of Model Fit Comparisons
fitMeasuresMx Find fit measures from an MxModel result
fmi Fraction of Missing Information.
funRotate Implement orthogonal or oblique rotation

-- G --

growth.auxiliary Analyzing data with full-information maximum likelihood with auxiliary variables
growth.mi Multiply impute and analyze data using lavaan

-- H --

hist-method Class For the Results of Bollen-Stine Bootstrap with Incomplete Data
hist-method Class for the Results of Permutation Randomization Tests of Measurement Equivalence and DIF
htmt Assessing Discriminant Validity using Heterotrait-Monotrait Ratio

-- I --

impliedFactorCov Calculate the model-implied factor means and covariance matrix.
impliedFactorMean Calculate the model-implied factor means and covariance matrix.
impliedFactorStat Calculate the model-implied factor means and covariance matrix.
imposeStart Specify starting values from a lavaan output
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

-- K --

kd Generate data via the Kaiser-Dickman (1962) algorithm.
kurtosis Finding excessive kurtosis

-- L --

lavaan.auxiliary Analyzing data with full-information maximum likelihood with auxiliary variables
lavaan.mi Multiply impute and analyze data using lavaan
lavaanStar-class Class For Representing A (Fitted) Latent Variable Model with Additional Elements
lisrel2lavaan Latent variable modeling in 'lavaan' using LISREL syntax
loadingFromAlpha Find standardized factor loading from coefficient alpha
longInvariance Measurement Invariance Tests Within Person

-- M --

mardiaKurtosis Finding Mardia's multivariate kurtosis
mardiaSkew Finding Mardia's multivariate skewness
maximalRelia Calculate maximal reliability
measurementInvariance Measurement Invariance Tests
measurementinvariance Measurement Invariance Tests
measurementInvarianceCat Measurement Invariance Tests for Categorical Items
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
mvrnonnorm Generate Non-normal Data using Vale and Maurelli (1983) method

-- N --

net Nesting and Equivalence Testing
Net-class Class For the Result of Nesting and Equivalence Testing
nullMx Analyzing data using a null model
nullRMSEA Calculate the RMSEA of the null model

-- O --

oblqRotate Implement orthogonal or oblique rotation
orthogonalize Make products of indicators using no centering, mean centering, double-mean centering, or residual centering
orthRotate Implement orthogonal or oblique rotation

-- P --

parcelAllocation Random Allocation of Items to Parcels in a Structural Equation Model
partialInvariance Partial Measurement Invariance Testing Across Groups
partialInvarianceCat Partial Measurement Invariance Testing Across Groups
PAVranking Parcel-Allocation Variability in Model Ranking
permuteMeasEq Permutation Randomization Tests of Measurement Equivalence and Differential Item Functioning (DIF)
permuteMeasEq-class Class for the Results of Permutation Randomization Tests of Measurement Equivalence and DIF
plotProbe Plot the graphs for probing latent interaction
plotRMSEAdist Plot the sampling distributions of RMSEA
plotRMSEApower Plot power curves for RMSEA
plotRMSEApowernested Plot power of nested model RMSEA
poolMAlloc Pooled estimates and standard errors across M parcel-allocations: Combining sampling variability and parcel-allocation variability.
probe2WayMC Probing two-way interaction on the no-centered or mean-centered latent interaction
probe2WayRC Probing two-way interaction on the residual-centered latent interaction
probe3WayMC Probing two-way interaction on the no-centered or mean-centered latent interaction
probe3WayRC Probing three-way interaction on the residual-centered latent interaction

-- Q --

quark Quark

-- R --

reliability Calculate reliability values of factors
reliabilityL2 Calculate the reliability values of a second-order factor
residualCovariate Residual centered all target indicators by covariates
runMI Multiply impute and analyze data using lavaan

-- S --

saturateMx Analyzing data using a saturate model
saveFile Copy or save the result of 'lavaan' or 'FitDiff' objects into a clipboard or a file
sem.auxiliary Analyzing data with full-information maximum likelihood with auxiliary variables
sem.mi Multiply impute and analyze data using lavaan
show-method Class For the Results of Bollen-Stine Bootstrap with Incomplete Data
show-method Class For Rotated Results from EFA
show-method Class For Representing A Template of Model Fit Comparisons
show-method Class For the Result of Nesting and Equivalence Testing
show-method Class for the Results of Permutation Randomization Tests of Measurement Equivalence and DIF
simParcel Simulated Data set to Demonstrate Random Allocations of Parcels
singleParamTest Single Parameter Test Divided from Nested Model Comparison
skew Finding skewness
spatialCorrect Calculate reliability values of factors
splitSample Randomly Split a Data Set into Halves
SSpower Power for model parameters
standardizeMx Find standardized estimates for OpenMx output
summary-method Class For the Results of Bollen-Stine Bootstrap with Incomplete Data
summary-method Class For Rotated Results from EFA
summary-method Class For Representing A Template of Model Fit Comparisons
summary-method Class For the Result of Nesting and Equivalence Testing
summary-method Class For Representing A (Fitted) Latent Variable Model with Additional Elements
summary-method Class for the Results of Permutation Randomization Tests of Measurement Equivalence and DIF

-- T --

tukeySEM Tukey's WSD post-hoc test of means for unequal variance and sample size

-- W --

wald Calculate multivariate Wald statistics