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claude-codescience

Babysitter sensitivity-analysis-uq

Global sensitivity analysis methods

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/mathematics/skills/sensitivity-analysis-uq" ~/.claude/skills/a5c-ai-babysitter-sensitivity-analysis-uq && rm -rf "$T"
manifest: library/specializations/domains/science/mathematics/skills/sensitivity-analysis-uq/SKILL.md
tags
#sensitivity-analysis#uncertainty-quantification#model-evaluation#mathematics#data-analysis
source content

Sensitivity Analysis (UQ)

Purpose

Provides global sensitivity analysis methods for understanding model behavior and input importance.

Capabilities

  • Sobol indices computation
  • Morris screening method
  • FAST (Fourier amplitude sensitivity test)
  • Correlation-based sensitivity
  • Derivative-based sensitivity (DGSM)
  • Variance-based decomposition

Usage Guidelines

  1. Method Selection: Choose based on computational budget
  2. Input Ranges: Define appropriate input ranges
  3. Sample Size: Ensure sufficient samples for convergence
  4. Interpretation: Correctly interpret sensitivity indices

Tools/Libraries

  • SALib
  • OpenTURNS
  • UQLab