Useful Tools for Structural Equation Modeling

Documentation for package ‘semTools’ version 0.5-6

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

-- A --

anova-method	Class for a lavaan Model Fitted to Multiple Imputations
anova-method	Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data
as.character-method	Class for Representing a Measurement-Equivalence Model
auxiliary	Implement Saturated Correlates with FIML
AVE	Calculate average variance extracted

-- 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 --

calculate.D2	Calculate the "D2" statistic
cfa.2stage	Fit a lavaan model using 2-Stage Maximum Likelihood (TSML) estimation for missing data.
cfa.auxiliary	Implement Saturated Correlates with FIML
cfa.mi	Fit a lavaan Model to Multiple Imputed Data Sets
chisqSmallN	Small-_N_ correction for chi^2 test statistic
clipboard	Copy or save the result of 'lavaan' or 'FitDiff' objects into a clipboard or a file
coef-method	Class for a lavaan Model Fitted to Multiple Imputations
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
compRelSEM	Composite Reliability using SEM

-- 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
discriminantValidity	Calculate discriminant validity statistics

-- E --

EFA-class	Class For Rotated Results from EFA
efa.ekc	Empirical Kaiser criterion
efaUnrotate	Analyze Unrotated Exploratory Factor Analysis Model
emm_basis.lavaan	'emmeans' Support Functions for 'lavaan' Models
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
fitMeasures-method	Class for a lavaan Model Fitted to Multiple Imputations
fitmeasures-method	Class for a lavaan Model Fitted to Multiple Imputations
fitted-method	Class for a lavaan Model Fitted to Multiple Imputations
fitted-method	Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data
fitted.values-method	Class for a lavaan Model Fitted to Multiple Imputations
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	Implement Saturated Correlates with FIML
growth.mi	Fit a lavaan Model to Multiple Imputed Data Sets

-- 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

-- 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	Implement Saturated Correlates with FIML
lavaan.mi	Fit a lavaan Model to Multiple Imputed Data Sets
lavaan.mi-class	Class for a lavaan Model Fitted to Multiple Imputations
lavaan2emmeans	'emmeans' Support Functions for 'lavaan' Models
lavTestLRT.mi	Likelihood Ratio Test for Multiple Imputations
lavTestScore.mi	Score Test for Multiple Imputations
lavTestWald.mi	Wald Test for Multiple Imputations
loadingFromAlpha	Find standardized factor loading from coefficient alpha
lrv2ord	Calculate Population Moments for Ordinal Data Treated as Numeric

-- M --

mardiaKurtosis	Finding Mardia's multivariate kurtosis
mardiaSkew	Finding Mardia's multivariate skewness
maximalRelia	Calculate maximal reliability
measEq.syntax	Syntax for measurement equivalence
measEq.syntax-class	Class for Representing a Measurement-Equivalence Model
miPowerFit	Modification indices and their power approach for model fit evaluation
modificationIndices.mi	Modification Indices for Multiple Imputations
modificationindices.mi	Modification Indices for Multiple Imputations
modindices.mi	Modification Indices for Multiple Imputations
monteCarloCI	Monte Carlo Confidence Intervals to Test Functions of Parameter Estimates
monteCarloMed	Monte Carlo Confidence Intervals to Test Functions of Parameter Estimates
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 a lavaan Model Fitted to Multiple Imputations
nobs-method	Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data
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
plausibleValues	Plausible-Values Imputation of Factor Scores Estimated from a lavaan Model
plotProbe	Plot a 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 three-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 --

recover_data.lavaan	'emmeans' Support Functions for 'lavaan' Models
resid-method	Class for a lavaan Model Fitted to Multiple Imputations
resid-method	Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data
residualCovariate	Residual-center all target indicators by covariates
residuals-method	Class for a lavaan Model Fitted to Multiple Imputations
residuals-method	Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data
runMI	Fit a lavaan Model to Multiple Imputed Data Sets

-- S --

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	Implement Saturated Correlates with FIML
sem.mi	Fit a lavaan Model to Multiple Imputed Data Sets
semTools	semTools: Useful Tools for Structural Equation Modeling
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 a lavaan Model Fitted to Multiple Imputations
show-method	Class for Representing a Measurement-Equivalence Model
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
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 a lavaan Model Fitted to Multiple Imputations
summary-method	Class for Representing a Measurement-Equivalence Model
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

-- U --

update-method

Class for Representing a Measurement-Equivalence Model

-- V --

vcov-method	Class for a lavaan Model Fitted to Multiple Imputations
vcov-method	Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data