Tools for simulating mathematical models of infectious disease.
Epidemic model classes include deterministic compartmental models,
stochastic agent-based, and stochastic network models. Network models use
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 easy API for extending these templates to address novel scientific research
aims.
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("Li", "Wang",
role=c("ctb"), email="lxwang@uw.edu"),
person("Skye", "Bender-deMoll",
role=c("ctb"), email="skyebend@uw.edu"))
knitr, ndtv (>= 0.7), rmarkdown, shiny, testthat

Tools for simulating mathematical models of infectious disease.
Epidemic model classes include deterministic compartmental models, stochastic
agent-based, and stochastic network models. Network models use
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 easy API for extending these templates to address novel scientific research aims.
graphics, grDevices, stats, utils, doParallel, ergm (>=
3.5.1), foreach, network (>= 1.13.0), RColorBrewer, ape
covr, knitr, ndtv, rmarkdown, shiny, testthat

Tools for simulating mathematical models of infectious disease.
Epidemic model classes include deterministic compartmental models, stochastic
agent-based 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 easy API for extending these templates to address novel scientific research aims.
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("Kevis", "Weiss",
role=c("ctb"), email="kevin.weiss@emory.edu"))
graphics, grDevices, stats, utils, doParallel, ergm (>=
3.5.1), foreach, network (>= 1.13.0), RColorBrewer, ape,
lazyeval
Samuel Jenness [cre, aut],
Steven M. Goodreau [aut],
Martina Morris [aut],
Emily Beylerian [ctb],
Skye Bender-deMoll [ctb],
Kevis Weiss [ctb]