Functions, data sets and shiny apps for "Epidemics: Models and Data in R" by Ottar N. Bjornstad (ISBN 978-3-319-97487-3) <https://www.springer.com/gp/book/9783319974866>. The package contains functions to study the S(E)IR model, spatial and age-structured SIR models; time-series SIR and chain-binomial stochastic models; catalytic disease models; coupled map lattice models of spatial transmission and network models for social spread of infection. The package is also an advanced quantitative companion to the coursera Epidemics Massive Online Open Course <https://www.coursera.org/learn/epidemics>.

Functions and Data for "Epidemics: Models and Data in R (2nd
Edition)"
Functions, data sets and shiny apps for "Epidemics: Models and Data in R (2nd edition)" by Ottar N. Bjornstad (2022, ISBN: 978-3-031-12055-8) <https://link.springer.com/book/10.1007/978-3-319-97487-3>. The package contains functions to study the Susceptible-Exposed-Infected-Removed SEIR model, spatial and age-structured Susceptible-Infected-Removed SIR models; time-series SIR and chain-binomial stochastic models; catalytic disease models; coupled map lattice models of spatial transmission and network models for social spread of infection. The package is also an advanced quantitative companion to the 'Coursera' Epidemics Massive Online Open Course <https://www.coursera.org/learn/epidemics>.
ade4, bbmle, fields, forecast, imputeTS, lme4, ncf, nleqslv,
nlme, nlts, plotrix, pomp, rootSolve, Rwave, rworldmap,
statnet, scatterplot3d

ade4, bbmle, fields, forecast, imputeTS, lme4, ncf, nleqslv,
nlme, nlts, plotrix, polspline, pomp, rootSolve, Rwave,
rworldmap, statnet, scatterplot3d

A collection of epidemic/network-related tools
Chris Groendyke <cxg928@psu.edu>, David Welch
<jdw21@stat.psu.edu>, David R. Hunter <dhunter@stat.psu.edu>,
A collection of epidemic/network-related tools. Simulates
transmission of diseases through contact networks. Performs
Bayesian inference on network and epidemic parameters, given
epidemic data.