A B C D E F G H I K L M N O P Q R S T U V
| 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 |
| BootMiss-class | Class For the Results of Bollen-Stine Bootstrap with Incomplete Data |
| bsBootMiss | Bollen-Stine Bootstrap with the Existence of Missing Data |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| imposeStart | Specify starting values from a lavaan output |
| indProd | Make products of indicators using no centering, mean centering, double-mean centering, or residual centering |
| kd | Generate data via the Kaiser-Dickman (1962) algorithm. |
| kurtosis | Finding excessive kurtosis |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| quark | Quark |
| recover_data.lavaan | 'emmeans' Support Functions for 'lavaan' Models |
| reliability | Calculate reliability values of factors |
| reliabilityL2 | Calculate the reliability values of a second-order factor |
| 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 |
| 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 |
| 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 |
| update-method | Class for Representing a Measurement-Equivalence Model |
| 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 |