Anime                   Data: Anime
Benitezetal2020         Data: Benitezetal2020
BergamiBagozzi2000      Data: BergamiBagozzi2000
ITFlex                  Data: ITFlex
LancelotMiltgenetal2016
                        Data: LancelotMiltgenetal2016
PoliticalDemocracy      Data: political democracy
Russett                 Data: Russett
SQ                      Data: SQ
Sigma_Summers_composites
                        Data: Summers
Switching               Data: Switching
Yooetal2000             Data: Yooetal2000
args_default            Show argument defaults or candidates
assess                  Assess model
calculateAVE            Average variance extracted (AVE)
calculateDf             Degrees of freedom
calculateFLCriterion    Fornell-Larcker criterion
calculateGoF            Goodness of Fit (GoF)
calculateHTMT           HTMT
calculateModelSelectionCriteria
                        Model selection criteria
calculateRelativeGoF    Relative Goodness of Fit (relative GoF)
calculateVIFModeB       Calculate variance inflation factors (VIF) for
                        weights obtained by PLS Mode B
calculateWeightsGSCA    Calculate composite weights using GSCA
calculateWeightsGSCAm   Calculate weights using GSCAm
calculateWeightsKettenring
                        Calculate composite weights using GCCA
calculateWeightsPCA     Calculate composite weights using principal
                        component analysis (PCA)
calculateWeightsPLS     Calculate composite weights using PLS-PM
calculateWeightsUnit    Calculate composite weights using unit weights
calculatef2             Calculate Cohen's f^2
csem                    Composite-based SEM
dgp_2ndorder_cf_of_c    Data: Second order common factor of composites
distance_measures       Calculate difference between S and Sigma_hat
doIPMA                  Do an importance-performance matrix analysis
doNonlinearEffectsAnalysis
                        Do a nonlinear effects analysis
doRedundancyAnalysis    Do a redundancy analysis
exportToExcel           Export to Excel (.xlsx)
fit                     Model-implied indicator or construct
                        variance-covariance matrix
fit_measures            Model fit measures
getConstructScores      Get construct scores
infer                   Inference
parseModel              Parse lavaan model
plot.cSEMIPMA           'cSEMIPMA' method for 'plot()'
plot.cSEMNonlinearEffects
                        'cSEMNonlinearEffects' method for 'plot()'
plot.cSEMResults_2ndorder
                        'cSEMResults' method for 'plot()' for
                        second-order models.
plot.cSEMResults_default
                        'cSEMResults' method for 'plot()'
plot.cSEMResults_multi
                        'cSEMResults' method for 'plot()' for multiple
                        groups.
predict                 Predict indicator scores
reliability             Reliability
resampleData            Resample data
resamplecSEMResults     Resample cSEMResults
satisfaction            Data: satisfaction
satisfaction_gender     Data: satisfaction including gender
savePlot                savePlot
summarize               Summarize model
testCVPAT               Perform a Cross-Validated Predictive Ability
                        Test (CVPAT)
testHausman             Regression-based Hausman test
testMGD                 Tests for multi-group comparisons
testMICOM               Test measurement invariance of composites
testOMF                 Test for overall model fit
threecommonfactors      Data: threecommonfactors
verify                  Verify admissibility
