Anime | Data: Anime |

args_default | Show argument defaults or candidates |

assess | Assess model |

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 |

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 |