Package: cSEM 0.5.0.9000
cSEM: Composite-Based Structural Equation Modeling
Estimate, assess, test, and study linear, nonlinear, hierarchical and multigroup structural equation models using composite-based approaches and procedures, including estimation techniques such as partial least squares path modeling (PLS-PM) and its derivatives (PLSc, ordPLSc, robustPLSc), generalized structured component analysis (GSCA), generalized structured component analysis with uniqueness terms (GSCAm), generalized canonical correlation analysis (GCCA), principal component analysis (PCA), factor score regression (FSR) using sum score, regression or Bartlett scores (including bias correction using Croon’s approach), as well as several tests and typical postestimation procedures (e.g., verify admissibility of the estimates, assess the model fit, test the model fit etc.).
Authors:
cSEM_0.5.0.9000.tar.gz
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cSEM.pdf |cSEM.html✨
cSEM/json (API)
| # Install 'cSEM' in R: |
| install.packages('cSEM', repos = c('https://floschuberth.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/floschuberth/csem/issues
Pkgdown site:https://floschuberth.github.io
- Anime - Data: Anime
- Benitezetal2020 - Data: Benitezetal2020
- BergamiBagozzi2000 - Data: BergamiBagozzi2000
- ITFlex - Data: ITFlex
- LancelotMiltgenetal2016 - Data: LancelotMiltgenetal2016
- PoliticalDemocracy - Data: political democracy
- Russett - Data: Russett
- SQ - Data: SQ
- Sigma_Summers_composites - Data: Summers
- Switching - Data: Switching
- Yooetal2000 - Data: Yooetal2000
- dgp_2ndorder_cf_of_c - Data: Second order common factor of composites
- satisfaction - Data: satisfaction
- satisfaction_gender - Data: satisfaction including gender
- threecommonfactors - Data: threecommonfactors
Last updated 1 months agofrom:b9d656777a. Checks:1 OK, 7 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 13 2025 |
| R-4.5-win | NOTE | Feb 13 2025 |
| R-4.5-mac | NOTE | Feb 13 2025 |
| R-4.5-linux | NOTE | Feb 13 2025 |
| R-4.4-win | NOTE | Feb 13 2025 |
| R-4.4-mac | NOTE | Feb 13 2025 |
| R-4.3-win | NOTE | Feb 13 2025 |
| R-4.3-mac | NOTE | Feb 13 2025 |
Exports:args_defaultassesscalculateAVEcalculateCFIcalculateChiSquarecalculateChiSquareDfcalculateCNcalculateDfcalculateDGcalculateDLcalculateDMLcalculatef2calculateFLCriterioncalculateGFIcalculateGoFcalculateHTMTcalculateIFIcalculateModelSelectionCriteriacalculateNFIcalculateNNFIcalculateRelativeGoFcalculateRhoCcalculateRhoTcalculateRMSEAcalculateRMSThetacalculateSRMRcalculateVIFModeBcsemdoIPMAdoNonlinearEffectsAnalysisdoRedundancyAnalysisexportToExcelfitgetConstructScoresinferparseModelpredictresamplecSEMResultsresampleDatasummarizetestCVPATtestHausmantestMGDtestMICOMtestOMFverify
Dependencies:abindadmiscalabamaclicodetoolscombinatcrayoncubaturedigestexpmfuturefuture.applyglobalsglueGPArotationlatticelavaanlifecyclelistenvmagrittrMASSMatrixmatrixcalcmatrixStatsmnormtmultipolmvtnormnleqslvnlmenumDerivparallellypbivnormpolycorprogressrpsychpurrrqrngquadprogrbibutilsRcppRcppArmadilloRdpackrlangspacefillrsymmomentsTruncatedNormalvctrs
Introduction to cSEM
Rendered fromcSEM.Rmdusingknitr::rmarkdownon Feb 13 2025.Last update: 2025-01-10
Started: 2019-04-23
Notation
Rendered fromNotation.Rmdusingknitr::rmarkdownon Feb 13 2025.Last update: 2023-09-18
Started: 2019-05-14
Terminology
Rendered fromTerminology.Rmdusingknitr::rmarkdownon Feb 13 2025.Last update: 2020-01-16
Started: 2019-05-14
Postestimation: Assessing a model
Rendered fromUsing-assess.Rmdusingknitr::rmarkdownon Feb 13 2025.Last update: 2023-09-18
Started: 2019-04-23
