PLS-SEM USING R: AN INTRODUCTION TO cSEM AND SEMinR
Francis Chuah, Mumtaz Ali Memon, Thurasamy Ramayah, Jun‐Hwa Cheah, Hiram Ting, Tat‐Huei Cham · Journal of Applied Structural Equation Modeling · 2021
In this editorial, we continue our discussion on the use of PLS-SEM statistical applications by introducing a few useful packages implemented in R. R is a free and open-source programming software that is used for statistical computing and graphics.To the best of our knowledge, most established PLS-SEM statistical applications have undergone rigorous testing and development in the R environment before being compiled and packaged as a standalone software.This editorial presents two new and well-maintained PLS-SEM packages in R, namely SEMinR and cSEM, to assist readers who prefer to work in a syntax-based environment and seek more flexibility to test their research models.