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.

A PLS-SEM study exploring students' privacy protection behavior on E-learning systems using extended Protection Motivation Theory (PMT) , identifying Attitude as the primary driver of security intentions.

Advanced PLS SEM Analysis with R

PLS-SEM Interactive Tutorial with cSEM R package

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.)

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

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

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

Partial Least Squares and Mixed logit models R Code

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