# Useful Tools for Structural Equation Modeling

## Documentation for package ‘semTools’ version 0.4-14

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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

## -- A --

anova-method | Class For Representing A (Fitted) Latent Variable Model with Additional Elements
anova-method | Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data
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
bsBootMiss | Bollen-Stine Bootstrap with the Existence of Missing Data

## -- C --

cfa.2stage | Fit a lavaan model using 2-Stage Maximum Likelihood (TSML) estimation for missing data.
cfa.auxiliary | Analyzing data with full-information maximum likelihood with auxiliary variables
cfa.mi | Multiply impute and analyze data using lavaan
chisqSmallN | _k_-factor correction for chi-squared test statistic
clipboard | Copy or save the result of 'lavaan' or 'FitDiff' objects into a clipboard or a file
coef-method | Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data
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
fitted-method | Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data
fitted.values-method | Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data
fmi | Fraction of Missing Information.
funRotate | Implement orthogonal or oblique rotation

## -- G --

growth.2stage | Fit a lavaan model using 2-Stage Maximum Likelihood (TSML) estimation for missing data.
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 --

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.2stage | Fit a lavaan model using 2-Stage Maximum Likelihood (TSML) estimation for missing data.
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
nobs-method | Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data
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
resid-method | Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data
residualCovariate | Residual centered all target indicators by covariates
residuals-method | Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data
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.2stage | Fit a lavaan model using 2-Stage Maximum Likelihood (TSML) estimation for missing data.
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
show-method | Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data
simParcel | Simulated Data set to Demonstrate Random Allocations of Parcels
singleParamTest | Single Parameter Test Divided from Nested Model Comparison
skew | Finding skewness
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
summary-method | Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data

## -- T --

tukeySEM | Tukey's WSD post-hoc test of means for unequal variance and sample size
twostage | Fit a lavaan model using 2-Stage Maximum Likelihood (TSML) estimation for missing data.
twostage-class | Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data

## -- V --

vcov-method | Class For Representing A (Fitted) Latent Variable Model with Additional Elements
vcov-method | Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data

## -- W --

wald | Calculate multivariate Wald statistics