sensitivity-master

Perform Morris and Sobol sensitivity analyses on nonlinear multi-parameter models with SALib.

Updated Jan 26, 2026

Search Tags:#sensitivity #global-analysis #Sobol #Morris #SALib #model-calibration #parameter-importance

Ready to run

npx skills add https://github.com/SPIRAL-EDWIN/MCM-ICM-2601000 --skill sensitivity-master

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sensitivity-master
Source: https://github.com/SPIRAL-EDWIN/MCM-ICM-2601000/tree/main/.github/skills/sensitivity-master
Command: npx skills add https://github.com/SPIRAL-EDWIN/MCM-ICM-2601000 --skill sensitivity-master

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables rigorous exploration of how input parameters influence model outputs using global sensitivity methods like Morris screening and Sobol indices, helping identify which parameters matter most and where interactions occur.

Core Features & Use Cases

Global sensitivity methods (Morris screening, Sobol indices) to quantify parameter importance and interactions.
Automated sample generation and analysis, including parallel evaluation and visualization (Morris scatter plots, Sobol bar charts, interaction heatmaps).
Use Case: You have a complex nonlinear model with many parameters; run sensitivity analysis to identify drivers and inform calibration.

Quick Start

Run a sensitivity analysis on your model using Morris for quick screening, then Sobol for precise quantification, and generate plots. Ensure you have SALib installed.

Frequently Asked Questions about sensitivity-master

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I identify which parameters drive my nonlinear model using global sensitivity analysis?▼

Global sensitivity analysis identifies key parameters driving model behavior in nonlinear, multi-parameter models. It uses methods like Morris screening and Sobol indices to quantify parameter importance and reveal where interactions occur.

What is the best way to perform Sobol and Morris analysis for model calibration?▼

The best way to perform Sobol and Morris analysis is using SALib for global sensitivity analysis. Morris provides quick parameter screening, while Sobol precisely quantifies parameter importance and interactions to inform model calibration.

Can I use SALib to run sensitivity analysis on complex engineering or ecology simulations?▼

Yes, you can use SALib to run sensitivity analysis on complex engineering, ecology, or economics simulations. It applies to nonlinear, multi-parameter models where parameter interactions matter, supporting parallel evaluation to handle computationally intensive simulations.

How do I generate sensitivity analysis plots and CSV results from my model parameters?▼

To generate sensitivity analysis plots and CSV results, run automated sample generation and analysis through SALib. This process outputs Morris scatter plots, Sobol bar charts, and interaction heatmaps alongside structured CSV files containing the quantified parameter importance metrics.

When should I use Morris screening versus Sobol indices for parameter importance analysis?▼

Use Morris screening for quick preliminary parameter importance analysis, then apply Sobol indices for precise quantification of parameter interactions. Morris is faster for narrowing down many parameters, while Sobol provides exact sensitivity measures for the remaining critical drivers.