CRAN/E | EpiModel

EpiModel

Mathematical Modeling of Infectious Disease Dynamics

Installation

About

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).

Citation EpiModel citation info
www.epimodel.org/
Bug report File report

Key Metrics

Version 2.4.0
R ≥ 4.1
Published 2023-06-20 310 days ago
Needs compilation? yes
License GPL-3
CRAN checks EpiModel results

Downloads

Yesterday 101 +321%
Last 7 days 256 -27%
Last 30 days 1.016 +35%
Last 90 days 2.606 -6%
Last 365 days 11.274 -22%

Maintainer

Maintainer

Samuel Jenness

samuel.m.jenness@emory.edu

Authors

Samuel Jenness

cre / aut

Steven M. Goodreau

aut

Martina Morris

aut

Adrien Le Guillou

aut

Chad Klumb

aut

Skye Bender-deMoll

ctb

Material

NEWS
Reference manual
Package source

In Views

Epidemiology

Vignettes

EpiModel Introduction
Working with Custom Attributes and Summary Statistics
Working with Model Parameters
Working with Network Objects

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

EpiModel archive

Depends

R ≥ 4.1
deSolve ≥ 1.21
networkDynamic ≥ 0.11.3
tergm ≥ 4.2.0
statnet.common ≥ 4.8.0

Imports

graphics
grDevices
stats
utils
doParallel
ergm ≥4.5.0
ergm.ego ≥ 1.1.0
egor
foreach
network ≥1.18.1
RColorBrewer
ape
lazyeval
ggplot2
tibble
methods
rlang
dplyr
coda
networkLite ≥ 1.0.5

Suggests

knitr
ndtv
rmarkdown
shiny
testthat
tidyr

LinkingTo

Rcpp
ergm

Reverse Suggests

statnet
tergmLite