Man pages for cSEM
Composite-Based Structural Equation Modeling

adjustAlphaInternal: Multiple testing correction
AnimeData: Anime
args_assess_dotdotdotComplete list of assess()'s ... arguments
args_defaultShow argument defaults or candidates
assessAssess model
Benitezetal2020Data: Benitezetal2020
BergamiBagozzi2000Data: BergamiBagozzi2000
buildDotCodeInternal: Build DOT code for the SEM plot, including...
calculate2ndStageInternal: Second/Third stage of the two-stage approach for...
calculateAVEAverage variance extracted (AVE)
calculateCompositeVCVInternal: Calculate composite variance-covariance matrix
calculateConstructVCVInternal: Calculate construct variance-covariance matrix
calculateCorrectionFactorsInternal: Calculate PLSc correction factors
calculateDfDegrees of freedom
calculateDistanceInternal: Matrix difference
calculateEffectsInternal: Calculate direct, indirect and total effect
calculatef2Calculate Cohen's f^2
calculateFLCriterionFornell-Larcker criterion
calculateFRInternal: ANOVA F-test statistic
calculateGoFGoodness of Fit (GoF)
calculateHTMTHTMT
calculateIndicatorCorInternal: Calculate indicator correlation matrix
calculateInnerWeightsPLSInternal: Calculate the inner weights for PLS-PM
calculateMAEInternal: Calculate prediction metrics
calculateModelSelectionCriteriaModel selection criteria
calculateOuterWeightsPLSInternal: Calculate the outer weights for PLS-PM
calculateParameterDifferenceInternal: Parameter differences across groups
calculatePrInternal: Calculation of the CDF used in Henseler et al....
calculateRelativeGoFRelative Goodness of Fit (relative GoF)
calculateReliabilitiesInternal: Calculate Reliabilities
calculateVIFModeBCalculate variance inflation factors (VIF) for weights...
calculateWeightsGSCACalculate composite weights using GSCA
calculateWeightsGSCAmCalculate weights using GSCAm
calculateWeightsKettenringCalculate composite weights using GCCA
calculateWeightsPCACalculate composite weights using principal component...
calculateWeightsPLSCalculate composite weights using PLS-PM
calculateWeightsUnitCalculate composite weights using unit weights
check_connectionInternal: Check whether two indicators belong to the same...
checkConvergenceInternal: Check convergence
classifyConstructsInternal: Classify structural model terms by type
cleanNodeInternal: Clean a node name.
convertModelInternal: Convert second order cSEMModel
csemComposite-based SEM
csem_argumentscSEMArguments
csem_modelcSEMModel
cSEM-packagecSEM: A package for composite-based structural equation...
csem_resultscSEMResults
csem_summarycSEMSummarize
csem_testcSEMTest
dgp_2ndorder_cf_of_cData: Second order common factor of composites
distance_measuresCalculate difference between S and Sigma_hat
doIPMADo an importance-performance matrix analysis
doNonlinearEffectsAnalysisDo a nonlinear effects analysis
doRedundancyAnalysisDo a redundancy analysis
estimatePathInternal: Estimate the structural coefficients
exportToExcelExport to Excel (.xlsx)
firstOrderMeasurementEdgesInternal: firstOrderMeasurementEdges
fitModel-implied indicator or construct variance-covariance...
fit_measuresModel fit measures
foremanInternal: Composite-based SEM
getConstructScoresGet construct scores
getParameterNamesInternal: Parameter names
getRelevantParametersInternal: Extract relevant parameters from several...
get_significance_starsInternal: get significance stars
getValuesFloodlightInternal: Helper for doNonlinearEffectsAnalysis()
handleArgsInternal: Handle arguments
inferInference
inference_helperInternal: Helper for infer()
ITFlexData: ITFlex
LancelotMiltgenetal2016Data: LancelotMiltgenetal2016
momentsInternal: Calculate consistent moments of a nonlinear model
nonlinear_estimation_utilitiesInternal: Utility functions for the estimation of nonlinear...
parseModelParse lavaan model
plot.cSEMIPMA'cSEMIPMA' method for 'plot()'
plot.cSEMNonlinearEffects'cSEMNonlinearEffects' method for 'plot()'
plot.cSEMPredict'cSEMPredict' 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.
PoliticalDemocracyData: political democracy
predictPredict 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()'
processDataInternal: Process data
reliabilityReliability
resamplecSEMResultsResample cSEMResults
resampleDataResample data
RussettData: Russett
satisfactionData: satisfaction
satisfaction_genderData: satisfaction including gender
savePlotsavePlot
save_single_plotInternal: save_single_plot Helper function to save a single...
scaleWeightsInternal: Scale weights
secondOrderMeasurementEdgesInternal: secondOrderMeasurementEdges
setDominantIndicatorInternal: Set the dominant indicator
setStartingValuesInternal: Set starting values
Sigma_Summers_compositesData: Summers
SQData: SQ
structureTestMGDDecisionsInternal: get structured cSEMTestMGD results
summarizeSummarize model
SwitchingData: Switching
testCVPATPerform a Cross-Validated Predictive Ability Test (CVPAT)
testHausmanRegression-based Hausman test
testMGDTests for multi-group comparisons
testMICOMTest measurement invariance of composites
testOMFTest for overall model fit
threecommonfactorsData: threecommonfactors
verifyVerify admissibility
Yooetal2000Data: Yooetal2000
cSEM documentation built on April 4, 2025, 3 a.m.