Package: EpiModel
Version: 2.2.1
Date: 2022-02-01
Title: Mathematical Modeling of Infectious Disease Dynamics
Description: Tools for simulating mathematical models of infectious disease dynamics.
    Epidemic model classes include deterministic compartmental models, stochastic
    individual-contact models, and stochastic network models. Network models use the
    robust statistical methods of exponential-family random graph models (ERGMs)
    from the Statnet suite of software packages in R. Standard templates for epidemic
    modeling include SI, SIR, and SIS disease types. EpiModel features an API for
    extending these templates to address novel scientific research aims. Full
    methods for EpiModel are detailed in Jenness et al. (2018, <doi:10.18637/jss.v084.i08>).
Maintainer: Samuel Jenness <samuel.m.jenness@emory.edu>
Authors@R: c(person("Samuel", "Jenness",
    role=c("cre","aut"), email="samuel.m.jenness@emory.edu"),
    person("Steven M.","Goodreau",
    role=c("aut"), email="goodreau@uw.edu"),
    person("Martina", "Morris",
    role=c("aut"), email="morrism@uw.edu"),
    person("Adrien", "Le Guillou",
    role=c("aut"), email="contact@aleguillou.org"),
    person("Skye", "Bender-deMoll",
    role=c("ctb"), email="skyebend@uw.edu"),
    person("Chad", "Klumb",
    role=c("ctb"), email="cklumb@gmail.com"))
License: GPL-3
URL: http://www.epimodel.org/
BugReports: https://github.com/EpiModel/EpiModel/issues
Depends: R (>= 3.5), deSolve (>= 1.21), networkDynamic (>= 0.10), tergm
        (>= 4.0), statnet.common (>= 4.4.0)
Imports: graphics, grDevices, stats, utils, doParallel, ergm (>= 4.0),
        foreach, network (>= 1.17), RColorBrewer, ape, lazyeval,
        ggplot2, tibble, methods, dplyr
Suggests: knitr, rmarkdown, shiny, testthat
VignetteBuilder: knitr
LinkingTo: Rcpp, ergm
RoxygenNote: 7.1.2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-02-02 01:06:31 UTC; samuel
Author: Samuel Jenness [cre, aut],
  Steven M. Goodreau [aut],
  Martina Morris [aut],
  Adrien Le Guillou [aut],
  Skye Bender-deMoll [ctb],
  Chad Klumb [ctb]
Repository: CRAN
Date/Publication: 2022-02-02 08:50:08 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 12:08:58 UTC; windows
Archs: i386, x64
