# Composite-Based Structural Equation Modeling

## Documentation for package ‘cSEM’ version 0.6.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## 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 Cohen's 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
calculateRelativeGoF | Relative Goodness of Fit (relative GoF)
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()'
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.
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
savePlot | savePlot
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