PLSPM.Basic_Prime

Author:

Gyeongcheol Cho and Heungsun Hwang

Description:

• The PLSPM.Basic_Prime package enables users to estimate and evaluate basic PLSPM models.

Features:

• Estimate PLSPM model parameters and calculate their standard errors (SE) along with 95% confidence intervals (CI).
• Enable parallel computing for bootstrap sampling.
• Allow users to specify a sign-fixing indicator for each component.
• Provide an option for Dijkstra's correction.
• Handle missing values in the data.

Installation:

To use this package in MATLAB:

1. Clone or download the repository:

   git clone https://github.com/PsycheMatrica/PLSPM.Basic_Prime.git

2. Add the package to your MATLAB path:

    addpath(genpath('PLSPM.Basic_Prime'))

Usage:

• For examples on how to use the package, refer to the Run_Example_BasicPLSPM.m file. This file demonstrates the implementation of BasicPLSPM() using the ACSI dataset.

Compatibility:

• Tested on MATLAB R2023b.
• Likely compatible with earlier MATLAB versions.

Citation (APA):

• If you use PLSPM.Basic_Prime in your research or publications, please cite it in APA format as follows:

Cho, G & Hwang, H (2024). PLSPM.Basic_Prime: A package for basic partial least squares path modeling [Computer software]. GitHub. https://github.com/PsycheMatrica/PLSPM.Basic_Prime