Reliability potential toolbox (for MATLAB)

The Reliability potential toolbox is a collection of MATLAB routines for calculating reliability potential with kernel functions in the framework of qualitative and quantitative consenus modelling. Further info can be found in the following paper: V. Consonni, R. Todeschini, M. Orlandi, D. Ballabio (2024) Kernel-based mapping of reliability in predictions for consensus modelling, Chemometrics and Intelligent Laboratory Systems 246, 105085, https://doi.org/10.1016/j.chemolab.2024.105085

Conditions and warranty
The routine is freeware and may be used if proper reference is given to the authors. Preferably refer to the following paper:
V. Consonni, R. Todeschini, M. Orlandi, D. Ballabio (2024) Kernel-based mapping of reliability in predictions for consensus modelling, Chemometrics and Intelligent Laboratory Systems 246, 105085, https://doi.org/10.1016/j.chemolab.2024.105085
MATLAB function for calculating confidence potential is distributed with an Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence: https://creativecommons.org/licenses/by-nc-nd/4.0/
You are free to share – copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the following license terms:
Attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. NonCommercial – You may not use the material for commercial purposes. NoDerivatives – If you remix, transform, or build upon the material, you may not distribute the modified material.

Download
Fill in the following form. Your personal data will be used only for notification via email of new releases of the toolbox and will not be communicated to external third parties. Once the form has been submitted, download the rar file containing the toolbox on a local folder, unzip the rar file and extract all the Matlab modules in a unique folder. Before starting calculations, please read the readme file provided.