auxiliary |
Analyzing data with full-information maximum likelihood with auxiliary variables |
BootMiss-class |
Class For the Results of Bollen-Stine Bootstrap with Incomplete Data |
bsBootMiss |
Bollen-Stine Bootstrap with the Existence of Missing Data |
cfa.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' 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 |
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 |
EFA-class |
Class For Rotated Results from EFA |
efaUnrotate |
Analyze Unrotated Exploratory Factor Analysis Model |
exLong |
Simulated Data set to Demonstrate Longitudinal Measurement Invariance |
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 |
growth.auxiliary |
Analyzing data with full-information maximum likelihood with auxiliary variables |
growth.mi |
Multiply impute and analyze data using lavaan |
hist-method |
Class For the Results of Bollen-Stine Bootstrap with Incomplete Data |
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 |
kd |
Generate data via the Kaiser-Dickman (1962) algorithm. |
kurtosis |
Finding excessive kurtosis |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
quark |
Quark |
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 |
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 |
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 |
tukeySEM |
Tukey's WSD post-hoc test of means for unequal variance and sample size |
wald |
Calculate multivariate Wald statistics |