DESCRIPTION

Package: sirplus
Type: Package
Title: Using stochastic individual compartment models (ICMs) to simulate COVID-19 spread
Version: 0.1
Date: 2020-03-29
Authors@R:
    c(person("Christina", "Azodi", role = c("aut"),
      email = "cazodi@svi.edu.au",
      comment = c(ORCID = "0000-0002-6097-606X")),
      person("Puxue", "Qiao", role = c("aut"),
      email = "pqiao@svi.edu.au"),
      person("Ruqian", "Lyu", role = c("aut"),
      email = "rlyu@svi.edu.au"),
      person("Tim", "Churches", role = c("aut")),
      person("Davis", "McCarthy", role = c("aut", "cre"),
      email = "dmccarthy@svi.edu.au",
      comment = c(ORCID = "0000-0002-2218-6833")))
Description: sirplus is a package for the modeling of COVID-19 spread with extensions to the classical Susceptible-Infectious-Recovered (SIR) model, using 
    stochastic individual compartment models (ICMs). It provides a simple interface
    for creating experiments to demonstrate how factors like social-distancing and
    epidemiological parameters will change the curve of an epidemic's trajectory. 
License: GPL-3 + file LICENSE
LazyData: TRUE
Depends:
    R (>= 3.6)
Imports:
    doParallel, 
    dplyr,
    tidyr, 
    stats, 
    future,
    EpiModel, 
    ggplot2,
    foreach
Suggests:
    earlyR,
    knitr,
    lubridate,
    magick,
    rmarkdown,
    spelling, 
    testthat
biocViews: Epidemiology, Software
RoxygenNote: 7.1.0
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB