Man pages for cSEM
Composite-Based Structural Equation Modeling
| adjustAlpha | Internal: Multiple testing correction |
| Anime | Data: Anime |
| args_assess_dotdotdot | Complete list of assess()'s ... arguments |
| args_default | Show argument defaults or candidates |
| assess | Assess model |
| Benitezetal2020 | Data: Benitezetal2020 |
| BergamiBagozzi2000 | Data: BergamiBagozzi2000 |
| calculate2ndStage | Internal: Second/Third stage of the two-stage approach for... |
| calculateAVE | Average variance extracted (AVE) |
| calculateCompositeVCV | Internal: Calculate composite variance-covariance matrix |
| calculateConstructVCV | Internal: Calculate construct variance-covariance matrix |
| calculateCorrectionFactors | Internal: Calculate PLSc correction factors |
| calculateDf | Degrees of freedom |
| calculateDistance | Internal: Matrix difference |
| calculateEffects | Internal: Calculate direct, indirect and total effect |
| calculatef2 | Calculate Cohens f^2 |
| calculateFLCriterion | Fornell-Larcker criterion |
| calculateFR | Internal: ANOVA F-test statistic |
| calculateGoF | Goodness of Fit (GoF) |
| calculateHTMT | HTMT |
| calculateIndicatorCor | Internal: Calculate indicator correlation matrix |
| calculateInnerWeightsPLS | Internal: Calculate the inner weights for PLS-PM |
| calculateMAE | Internal: Calculate prediction metrics |
| calculateModelSelectionCriteria | Model selection criteria |
| calculateOuterWeightsPLS | Internal: Calculate the outer weights for PLS-PM |
| calculateParameterDifference | Internal: Parameter differences across groups |
| calculatePr | Internal: Calculation of the CDF used in Henseler et al.... |
| calculateReliabilities | Internal: Calculate Reliabilities |
| calculateVIFModeB | Calculate variance inflation factors (VIF) for weights... |
| calculateWeightsGSCA | Calculate composite weights using GSCA |
| calculateWeightsGSCAm | Calculate weights using GSCAm |
| calculateWeightsKettenring | Calculate composite weights using GCCA |
| calculateWeightsPCA | Calculate composite weights using principal component... |
| calculateWeightsPLS | Calculate composite weights using PLS-PM |
| calculateWeightsUnit | Calculate composite weights using unit weights |
| checkConvergence | Internal: Check convergence |
| classifyConstructs | Internal: Classify structural model terms by type |
| convertModel | Internal: Convert second order cSEMModel |
| csem | Composite-based SEM |
| csem_arguments | cSEMArguments |
| csem_model | cSEMModel |
| cSEM-package | cSEM: A package for composite-based structural equation... |
| csem_results | cSEMResults |
| csem_summary | cSEMSummarize |
| csem_test | cSEMTest |
| 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 |
| estimatePath | Internal: Estimate the structural coefficients |
| exportToExcel | Export to Excel (.xlsx) |
| fit | Model-implied indicator or construct variance-covariance... |
| fit_measures | Model fit measures |
| foreman | Internal: Composite-based SEM |
| getConstructScores | Get construct scores |
| getParameterNames | Internal: Parameter names |
| getRelevantParameters | Internal: Extract relevant parameters from several... |
| getValuesFloodlight | Internal: Helper for doNonlinearEffectsAnalysis() |
| handleArgs | Internal: Handle arguments |
| infer | Inference |
| inference_helper | Internal: Helper for infer() |
| ITFlex | Data: ITFlex |
| LancelotMiltgenetal2016 | Data: LancelotMiltgenetal2016 |
| moments | Internal: Calculate consistent moments of a nonlinear model |
| nonlinear_estimation_utilities | Internal: Utility functions for the estimation of nonlinear... |
| parseModel | Parse lavaan model |
| plot.cSEMIPMA | 'cSEMIPMA' method for 'plot()' |
| plot.cSEMNonlinearEffects | 'cSEMNonlinearEffects' method for 'plot()' |
| plot.cSEMPredict | 'cSEMPredict' method for 'plot()' |
| PoliticalDemocracy | Data: political democracy |
| predict | Predict indicator scores |
| print.cSEMAssess | 'cSEMAssess' method for 'print()' |
| print.cSEMNonlinearEffects | 'cSEMNonlinearEffectsAnalysis' method for 'print()' |
| print.cSEMPlotPredict | 'cSEMPlotPredict' method for 'print()' |
| print.cSEMPredict | 'cSEMPredict' method for 'print()' |
| print.cSEMResults | 'cSEMResults' method for 'print()' |
| print.cSEMSummarize | 'cSEMSummarize' method for 'print()' |
| print.cSEMTestCVPAT | 'cSEMTestCVPAT' method for 'print()' |
| print.cSEMTestHausman | 'cSEMTestHausman' method for 'print()' |
| print.cSEMTestMGD | 'cSEMTestMGD' method for 'print()' |
| print.cSEMTestMICOM | 'cSEMTestMICOM' method for 'print()' |
| print.cSEMTestOMF | 'cSEMTestOMF' method for 'print()' |
| print.cSEMVerify | 'cSEMVerify' method for 'print()' |
| processData | Internal: Process data |
| reliability | Reliability |
| resamplecSEMResults | Resample cSEMResults |
| resampleData | Resample data |
| Russett | Data: Russett |
| satisfaction | Data: satisfaction |
| satisfaction_gender | Data: satisfaction including gender |
| scaleWeights | Internal: Scale weights |
| setDominantIndicator | Internal: Set the dominant indicator |
| setStartingValues | Internal: Set starting values |
| Sigma_Summers_composites | Data: Summers |
| SQ | Data: SQ |
| structureTestMGDDecisions | Internal: get structured cSEMTestMGD results |
| 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 |
