Fast Agent-Based Epi Models
Add entities to a model according to a data.frame
Load agents to a model
Agents in epiworldR
Get entities
Generation time
Model history and totals
Hospitalizations by tool
Methods for epiworldR objects
Model Diagram
Reproductive number (Rt)
Summary counts and probabilities
Transition dynamics and incidence
Transmission network
Deprecated and removed functions in epiworldR
epiworldR
Global Events
Likelihood-Free Markhov Chain Monte Carlo (LFMCMC)
Network Diffusion Model
Susceptible Exposed Infected Recovered model (SEIR)
Susceptible Exposed Infected Removed model (SEIR connected)
Susceptible-Exposed-Infected-Recovered-Deceased model (SEIRD)
Susceptible Exposed Infected Removed Deceased model (SEIRD connected)
Susceptible Exposed Infected Removed model (SEIR) with mixing
Susceptible Exposed Infected Removed model (SEIR) with mixing and quar...
SIR model
Susceptible Infected Removed model (SIR connected)
SIRD model
Susceptible Infected Removed Deceased model (SIRD connected)
SIR Logistic model
Susceptible Infected Removed model (SIR) with mixing
SIS model
SISD model
SURV model
Run multiple simulations at once
Tools in epiworld
Virus design
A flexible framework for Agent-Based Models (ABM), the 'epiworldR' package provides methods for prototyping disease outbreaks and transmission models using a 'C++' backend, making it very fast. It supports multiple epidemiological models, including the Susceptible-Infected-Susceptible (SIS), Susceptible-Infected-Removed (SIR), Susceptible-Exposed-Infected-Removed (SEIR), and others, involving arbitrary mitigation policies and multiple-disease models. Users can specify infectiousness/susceptibility rates as a function of agents' features, providing great complexity for the model dynamics. Furthermore, 'epiworldR' is ideal for simulation studies featuring large populations.
Useful links