Professional PLS-SEM Workflow with PLSsemEngine | 1. Data Generation | 2. Model Specification | 3. Execution | 4. Results Inspection | 5. Interpretation | 6. Advanced Features
Package: PLSsemEngine 1.3.0
PLSsemEngine: Transparent PLS-SEM Estimation for Composite-Based Reflective Models
A transparent and modular implementation of Partial Least Squares Structural Equation Modeling (PLS-SEM) focused on reflective measurement models (Mode A). The package separates estimation, bootstrap inference, and predictive evaluation into independent components, emphasising algorithmic transparency, reproducibility, and researcher-controlled analysis. Methods are based on Tenenhaus, Esposito Vinzi, Chatelin & Lauro (2005) <doi:10.1016/j.csda.2004.03.005>, Hair, Risher, Sarstedt & Ringle (2019) <doi:10.1108/EBR-11-2018-0203>, and Henseler, Ringle & Sarstedt (2015) <doi:10.1007/s11747-014-0403-8>.
Authors:
PLSsemEngine_1.3.0.tar.gz
PLSsemEngine_1.3.0.zip(r-4.7-any)PLSsemEngine_1.3.0.zip(r-4.6-any)PLSsemEngine_1.3.0.zip(r-4.5-any)
PLSsemEngine_1.3.0.tgz(r-4.6-any)PLSsemEngine_1.3.0.tgz(r-4.5-any)
PLSsemEngine_1.3.0.tar.gz(r-4.7-any)PLSsemEngine_1.3.0.tar.gz(r-4.6-any)
PLSsemEngine_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PLSsemEngine/json (API)
| # Install 'PLSsemEngine' in R: |
| install.packages('PLSsemEngine', repos = c('https://msoto-perez.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/msoto-perez/plssemengine/issues
Last updated from:cab9a9dcb4. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 93 | ||
| source / vignettes | OK | 153 | ||
| linux-release | OK | 107 | ||
| macos-release | OK | 159 | ||
| macos-oldrel | OK | 155 | ||
| windows-devel | OK | 80 | ||
| windows-release | OK | 69 | ||
| windows-oldrel | OK | 69 | ||
| wasm-release | OK | 73 |
Exports:bootstrap_pathscompute_cmb_vifcompute_htmt_metricscompute_model_fitcvpatexport_lavaan_syntaxexport_scoresget_boundary_offsetget_indirect_effectsget_referenceshtmt_item_diagnosticsinterpret_modelplot_model_resultsplot_structural_modelpls_enginepls_semplspredict
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Non-Parametric Bootstrap for Structural Paths | bootstrap_paths |
| Compute Full Collinearity VIF for Common Method Bias | compute_cmb_vif |
| Compute HTMT and HTMT2 Ratios for Discriminant Validity | compute_htmt_metrics |
| Compute Global Model Fit Indices | compute_model_fit |
| Cross-Validated Predictive Ability Test (CVPAT) | cvpat |
| Export to Lavaan Syntax (CB-SEM / CFA Integration) | export_lavaan_syntax |
| Export Latent Variable Scores | export_scores |
| Calculate Exact Boundary Intersections for Rectangles | get_boundary_offset |
| Calculate Indirect Effects | get_indirect_effects |
| Retrieve Standard Methodological References | get_references |
| HTMT-Guided Item Diagnostics | htmt_item_diagnostics |
| Optional Methodological Assessment | interpret_model |
| Plot Model Results (Beta & R-squared) | plot_model_results |
| Plot Structural Model Base Geometry | plot_structural_model |
| Core PLS-SEM Estimation Engine (Mode A) | pls_engine |
| Estimate a PLS-SEM Model (Mode A) | pls_sem |
| PLSpredict: Out-of-Sample Predictive Evaluation | plspredict |