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SmallCouplingDynamicCavity.jl

Documentation for SmallCouplingDynamicCavity.jl. The GitHub repository can be found at SmallCouplingDynamicCavity.jl.git.

Overview

The purpose of SmallCouplingDynamicCavity.jl is to provide a general and computationally efficient solution for Bayesian epidemic inference and risk assessment. The package offers an efficient structure implementation for the most used epidemic models, such as Susceptible-Infected (SI), Susceptible-Infected-Recovered (SIR), Susceptible-Infected-Susceptible (SIS) and Susceptible-Infected-Recovered-Susceptible (SIRS).

For all these models, the package provides:

  • a simulation tool, which allows to sample an epidemic outbreak with specified parameters
  • a statistical inference tool, which allows to obtain fully bayesian estimates of the epidemic uotbreak

Installation

The package can be installed with the Julia package manager. From the Julia REPL, type ] to enter the Pkg REPL mode and run:

pkg> add SmallCouplingDynamicCavity

Or, equivalently, via the Pkg API:

julia> import Pkg; Pkg.add("SmallCouplingDynamicCavity")

Index