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