DESCRIPTION

Package: epiworldR
Type: Package
Title: Fast Agent-Based Epi Models
Version: 0.6.0.0
Authors@R: c(
  person(given="George", family="Vega Yon", role=c("aut"),
  email="g.vegayon@gmail.com", comment = c(ORCID = "0000-0002-3171-0844")),
  person(given="Derek", family="Meyer", role=c("aut"),
  email="derekmeyer37@gmail.com", comment = c(ORCID = "0009-0005-1350-6988")),
  person(given="Andrew", family="Pulsipher", role=c("aut", "cre"),
  email="pulsipher.a@gmail.com", comment = c(ORCID = "0000-0002-0773-3210")),
  person(given="Susan", family="Holmes", role = "rev", comment =
         c(what = "JOSS reviewer", ORCID="0000-0002-2208-8168")),
  person(given="Abinash", family="Satapathy", role = "rev", comment =
         c(what = "JOSS reviewer", ORCID="0000-0002-2955-2744")),
  person(given="Carinogurjao", role = "rev"),
  person("Centers for Disease Control and Prevention", role="fnd", comment = "Award number 1U01CK000585; 75D30121F00003"
  ))
Description: 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.
URL: https://github.com/UofUEpiBio/epiworldR,
    https://uofuepibio.github.io/epiworldR/,
    https://uofuepibio.github.io/epiworldR-workshop/
BugReports: https://github.com/UofUEpiBio/epiworldR/issues
License: MIT + file LICENSE
RoxygenNote: 7.3.2
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
LinkingTo: cpp11
Suggests:
    knitr,
    rmarkdown,
    tinytest,
    netplot,
    igraph,
    data.table
Imports:
    utils
VignetteBuilder: knitr