A B C D E F G H I K L M N O P Q R S T W
anova-method | Class For Representing A (Fitted) Latent Variable Model with Additional Elements |
auxiliary | Analyzing data with full-information maximum likelihood with auxiliary variables |
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 |
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 |
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 |
hist-method | Class for the Results of Permutation Randomization Tests of Measurement Equivalence and DIF |
htmt | Assessing Discriminant Validity using Heterotrait-Monotrait Ratio |
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 |
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 |
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 |
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 |
tukeySEM | Tukey's WSD post-hoc test of means for unequal variance and sample size |
wald | Calculate multivariate Wald statistics |