jae0/adapt: Areal Disease Analysis and Predicion Tools for COVID-19 epidemiological modelling and forecasting
Areal Disease Analysis and Predicion Tools assimilates disease spread data for COVID-19, and other similar diseases, in order to estimate model parameters of disease transmission. The model used here is an adaptation of a classical epidemiological model (SIR) using Bayesian methods (MCMC via STAN). Simulation/forcasting of disease progression is conducted using stochastic simulation approaches (via the Gillespie method). Small area-based approach using CAR/BYM models are also used to model and support spatial smoothing and analysis.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | MIT + file LICENSE |
| Version | 0.2 |
| URL | https://github.com/jae0/adapt/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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