Version 1.1.4

Contributor for this Update

Gyeongcheol Cho

Update Notes

1. Renamed the repository and package.
2. Updated all references in the documentation to reflect these changes.

Full Changelog: v1.1.3...v1.1.4

v1.1.3

Contributor for this Update

Gyeongcheol Cho

Update Notes

• Hot Fix:
  1. Fixed the algorithm for more precise calculation of SE and 95% CI.

Full Changelog: v1.1.2...v1.1.3

Version 1.1.2

Contributor for this Update

Gyeongcheol Cho

Update Notes

• Hot Fix:
  1. Corrected scheme application error in ALS algorithm.
  2. Corrected a typo in the README.md file.

Full Changelog: v1.1.1...v1.1.2

Version 1.1.1

Contributor for this Update

Gyeongcheol Cho

Update Notes

• Style Change:
  1. Changed the modetype value for Mode B from 0 to 2 .
• Docs Update:
  1. Corrected a typo in a comment within the ALS_BasicPLSPM() function.

Full Changelog: v1.0.1...v1.1.1

Version 1.1.0

Contributor for this Update

Gyeongcheol Cho

Update Notes

• New Features:
  1. Added option to specify a sign-fixing indicator for each component.
  2. Enabled saving of the component score matrix.

Full Changelog: v1.0.1...v1.1.0

v1.0.1

BasicPLSPM_Prime

Version 1.0.1

Contributor for this update

Gyeongcheol Cho

Update Notes

• New Feature: Added an option to save component scores

Full Changelog: v1.0.0...v1.0.1

v1.0.0

BasicPLSPM_Prime

Version 1.0.0

Author:

Heungsun Hwang and Gyeongcheol Cho

Description:

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

Features:

• Estimate GSCA model parameters and calculate their standard errors (SE) along with 95% confidence intervals (CI).
• Enable parallel computing for bootstrap sampling.

Installation:

To use this package in MATLAB:

1. Clone or download the repository:

   git clone https://github.com/GyeongcheolCho/BasicPLSPM_Prime.git

2. Add the package to your MATLAB path:

    addpath(genpath('BasicPLSPM_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 BasicPLSPM_Prime in your research or publications, please cite it in APA format as follows:

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