Enhanced Sensitivity Model

Complete Analysis Suite with Conservative Sampling

adapt_delta=0.99 | max_treedepth=12 | 4 chains × 2000 iterations

🎯 Comprehensive Analysis Suite

This suite provides complete visualization and analysis of the enhanced sensitivity model with conservative sampling for reliable inference.

📊 Enhanced Sensitivity Report

Detailed analysis report with model diagnostics, parameter estimates, and performance metrics.

  • Model diagnostics and convergence
  • Parameter estimates with credible intervals
  • Performance metrics and comparisons
  • Technical implementation details
View Report

📈 Enhanced Model Visualizations

Comprehensive visualizations including component time series, convergence diagnostics, and parameter distributions.

  • Component time series analysis
  • Convergence diagnostics (R-hat, ESS)
  • Parameter distribution forest plots
  • Fitness state evolution
View Visualizations

⏱️ Missing Visualizations

Key time series and component analysis showing weight predictions, component breakdown, and fitness state evolution.

  • Weight predictions vs observations
  • Component breakdown over time
  • Fitness state evolution with activity overlay
  • Variance proportions and half-lives
View Time Series

🏃 Enhanced Fitness Time Series

Fitness-focused time series analysis with biological interpretation and enhanced sampling configuration.

  • Fitness time series analysis
  • Biological interpretation of results
  • Enhanced sampling configuration
  • Executive summary and key insights
View Fitness Analysis

🔬 Enhanced Model Overview

Model overview with technical specifications, sampling configuration, and implementation details.

  • Model specification and equations
  • Sampling configuration
  • Implementation details
  • Technical specifications
View Overview
📋 Model Configuration
ParameterValuePurpose
adapt_delta0.99Conservative sampling, reduces divergent transitions
max_treedepth12Deeper exploration of posterior
warmup iterations1000Extended warmup for better adaptation
sampling iterations1000Sufficient samples for reliable inference
chains4Multiple chains for convergence diagnostics
prediction points200Dense grid for smooth predictions
fitness components4Aerobic/Strength × Short/Long-term

Enhanced Sensitivity Model Analysis Suite | Generated: March 2026

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