PRIME - A Software Toolkit for the Characterization of Partially Observed Epidemics in a Bayesian Framework Logo

Getting Started:

  • About

Model:

  • 1. Model description
  • 2. Data
  • 3. Bayesian Framework

Examples:

  • 4. One-Wave Model
  • 5. Multi-Wave Model
  • 6. Multi-region Model

Reference Guide

  • 7. Developer Reference Guide
PRIME - A Software Toolkit for the Characterization of Partially Observed Epidemics in a Bayesian Framework
  • Welcome to PRIME’s documentation!
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Welcome to PRIME’s documentation!

Getting Started:

  • About
    • Team
    • Acknowledgments
    • Requirements

Model:

  • 1. Model description
    • 1.1. Infection Rate Model
    • 1.2. Incubation Rate Model
    • 1.3. Single Wave Model
    • 1.4. Multi-wave Model
  • 2. Data
  • 3. Bayesian Framework
    • 3.1. Multiple Epidemic Waves
    • 3.2. Multiple Regions
    • 3.3. Likelihood Construction
      • 3.3.1. Deterministic Incubation Model
        • 3.3.1.1. Gaussian distribution
        • 3.3.1.2. Negative-binomial distribution
      • 3.3.2. Stochastic Incubation Model
    • 3.4. Posterior Distribution
      • 3.4.1. Posterior Predictive Tests
      • 3.4.2. Model Selection
        • 3.4.2.1. Information Criteria
        • 3.4.2.2. Continuous Ranked Probability Score

Examples:

  • 4. One-Wave Model
    • 4.1. Problem Setup
    • 4.2. New Case Forecast Results
    • 4.3. Infection Rate Prediction Results
    • 4.4. JSON Input File
  • 5. Multi-Wave Model
    • 5.1. Two Waves
    • 5.2. Three Waves
    • 5.3. JSON Input Files
  • 6. Multi-region Model
    • 6.1. Two Regions Example
    • 6.2. Three Regions Example
    • 6.3. JSON Input Files

Reference Guide

  • 7. Developer Reference Guide

Indices and tables

  • Index

  • Module Index

  • Search Page

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