Package: EpiModel
Version: 2.0.2
Date: 2020-08-04
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.
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("Emily", "Beylerian",
    role=c("ctb"), email="emily.beylerian@gmail.com"),
    person("Skye", "Bender-deMoll",
    role=c("ctb"), email="skyebend@uw.edu"),
    person("Kevin", "Weiss",
    role=c("ctb"), email="kevin.weiss@emory.edu"),
    person("Shawnee", "Anderson",
    role=c("ctb"), email="shawnee.marcell.anderson@emory.edu"))
License: GPL-3
URL: http://epimodel.org/, http://github.com/statnet/EpiModel
BugReports: https://github.com/statnet/EpiModel/issues
Depends: R (>= 3.5), deSolve (>= 1.21), networkDynamic (>= 0.9), tergm
        (>= 3.5), tergmLite (>= 2.2.0)
Imports: graphics, grDevices, stats, utils, doParallel, ergm (>= 3.10),
        foreach, network (>= 1.13), RColorBrewer, ape, lazyeval,
        ggplot2
Suggests: knitr, ndtv, rmarkdown, shiny, testthat
VignetteBuilder: knitr
LinkingTo: ergm
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-08-05 01:41:58 UTC; samuel
Author: Samuel Jenness [cre, aut],
  Steven M. Goodreau [aut],
  Martina Morris [aut],
  Emily Beylerian [ctb],
  Skye Bender-deMoll [ctb],
  Kevin Weiss [ctb],
  Shawnee Anderson [ctb]
Repository: CRAN
Date/Publication: 2020-08-05 09:52:19 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-05 23:43:36 UTC; windows
Archs: i386, x64
