Composite-Based Structural Equation Modeling
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Documentation for package ‘cSEM’ version 0.5.0
Help Pages
| 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 |