Anime |
Data: Anime |
args_default |
Show argument defaults or candidates |
assess |
Assess model |
Benitezetal2020 |
Data: Benitezetal2020 |
BergamiBagozzi2000 |
Data: BergamiBagozzi2000 |
calculateAVE |
Average variance extracted (AVE) |
calculateCFI |
Model fit measures |
calculateChiSquare |
Model fit measures |
calculateChiSquareDf |
Model fit measures |
calculateCN |
Model fit measures |
calculateDf |
Degrees of freedom |
calculateDG |
Calculate difference between S and Sigma_hat |
calculateDL |
Calculate difference between S and Sigma_hat |
calculateDML |
Calculate difference between S and Sigma_hat |
calculatef2 |
Calculate Cohens f^2 |
calculateFLCriterion |
Fornell-Larcker criterion |
calculateGFI |
Model fit measures |
calculateGoF |
Goodness of Fit (GoF) |
calculateHTMT |
HTMT |
calculateIFI |
Model fit measures |
calculateModelSelectionCriteria |
Model selection criteria |
calculateNFI |
Model fit measures |
calculateNNFI |
Model fit measures |
calculateRhoC |
Reliability |
calculateRhoT |
Reliability |
calculateRMSEA |
Model fit measures |
calculateRMSTheta |
Model fit measures |
calculateSRMR |
Model fit measures |
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 |
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 |
ITFlex |
Data: ITFlex |
LancelotMiltgenetal2016 |
Data: LancelotMiltgenetal2016 |
parseModel |
Parse lavaan model |
plot.cSEMIPMA |
'cSEMIPMA' method for 'plot()' |
plot.cSEMNonlinearEffects |
'cSEMNonlinearEffects' method for 'plot()' |
PoliticalDemocracy |
Data: political democracy |
predict |
Predict indicator scores |
reliability |
Reliability |
resamplecSEMResults |
Resample cSEMResults |
resampleData |
Resample data |
Russett |
Data: Russett |
satisfaction |
Data: satisfaction |
satisfaction_gender |
Data: satisfaction including gender |
Sigma_Summers_composites |
Data: Summers |
SQ |
Data: SQ |
summarize |
Summarize model |
Switching |
Data: Switching |
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 |
Yooetal2000 |
Data: Yooetal2000 |