pls-sem

R package plspm

Description: Estimate complex Structural Equation Models (SEMs) using the PLS-SEM framework. This package expands the PLS-SEM (and PLSc-SEM) framework to handle categorical data, non-linear models, and multilevel structures.

Free offline Structural Equation Modelling (SEM) desktop app with PLS-SEM, CB-SEM, HTMT, bootstrapping, visual model builder, fsQCA analysis and R/Python export.

Open, scriptable and reproducible PLS-SEM for Python, with a desktop Studio

OpenSEM: a vendor-neutral, open format for structural-equation models and their results. Draft v0.1.

Two PLS-SEM studies on Coca-Cola purchase intention using primary survey data in SmartPLS, covering measurement and structural models, bootstrapping, and mediation analysis.

PLS-SEM study of university students' generative AI adoption using TAM, UTAUT2, mediation analysis, and predictive assessment.

Replication package: Explainable AI-based prioritization of managerial success factors in agile global software development (PLS-SEM + ML benchmark + XAI)

MSC UTAUT2 research project with behavioral constructs analysis

PLS-SEM Model of Self-Pay Influencing Diabetic Treatment and Outcomes (Paper + R)

Practical SmartPLS 4 regression course with results assessment, bootstrapping, PLS-SEM evaluation, and reporting templates.

Hybrid PLS-SEM and ANN analysis for circular economy and net-zero carbon buildings (Python)

Metodologia seguida en l'elaboració de l'Índex de Vulnerabilitat Urbana (IVU) proposat a Antón-Alonso, F., Porcel, S., Cruz, I., Coll, F. (2020). "La vulenerabilitat urbana a Barcelona: persistència, concentració i complexitat." Papers. Regió Metropolitana de Barcelona, 63, pp. 50-67

Analysis of factors influencing Microsoft Teams usage intention using the Extended TAM model and PLS-SEM. (Phân tích các yếu tố ảnh hưởng đến ý định sử dụng Microsoft Teams bằng mô hình TAM mở rộng và PLS-SEM.)

Advanced PLS SEM Analysis with R

This project is a Python implementation of PLS-SEM (Partial Least Squares Structural Equation Modeling) built using Streamlit.

研究生科研助手：搭概念模型、设计带来源问卷、公开数据替代问卷、跑通 SPSS→SmartPLS｜开源免费、浏览器本地运行、数据不上传

Combined importance-performance map analysis (cIPMA) in R: PLS-SEM importance and performance with Quantile Necessary Condition Analysis.

Analysis of factors influencing students' intention and actual use of Google Classroom using the Extended Technology Acceptance Model (TAM) with PLS-SEM and SmartPLS.

PLS-SEM study of AI dependency, cognitive offloading, and academic performance in engineering education (N=302). Eight hypotheses, serial-parallel mediation, MICOM, endogeneity and NCA robustness checks, presented as an interactive manuscript-style D3.js website.