Version 1.3.2

Contributor for this Update

Gyeongcheol Cho

Update Notes

1. Changed the names of the functions

Full Changelog: v1.3.1...v1.3.2

Version 1.3.1

Contributor for this Update

Gyeongcheol Cho

Update Notes

1. Integrate multiple outputs into a single structure array
2. Add "VERSION.txt"

Full Changelog: v1.3.0...v1.3.1

Version 1.3.0

Contributor for this Update

Gyeongcheol Cho

Update Notes

1. The function can now handle missing values in the data.
2. The function can now apply Dijkstra's correction for PLSc.

Full Changelog: v.1.2.0...v1.3.0

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

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