McMasterPandemic
Compartmental epidemic models for forecasting and analysis of infectious disease pandemics: contributions from Ben Bolker, Jonathan Dushoff, David Earn, Weiguang Guan, Morgan Kain, Michael Li, Irena Papst, Steve Walker (in alphabetical order).

 

Refactoring for Speed and Generality

We are currently refactoring McMasterPandemic to make it faster and more general. We have merged the development branch for this refactoring project back into the master branch. However the classic functionality of McMasterPandemic is still available and coexists with the more general interface and faster engine. To get started with the classic functionality, please read this vignette. To get started with the faster and more general functionality, please read this user guide.

 
Feedback is welcome at the issues list, or e-mail us.
Immediately related elementsHow this works
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EIDM  »EIDM 
Software »Software
Software programs »Software programs
McMasterPandemic
R »R
C++ »C++
Fitting dynamical models to data »Fitting dynamical models to data
Simulation »Simulation
Compartmental »Compartmental
Deterministic »Deterministic
Stochastic »Stochastic
Data analysis »Data analysis
CANMOD – Tools »CANMOD – Tools
mpox »mpox
Benjamin Bolker »Benjamin Bolker
David Earn »David Earn
Michael WZ Li »Michael WZ Li
Jonathan Dushoff »Jonathan Dushoff
Michael WZ Li »Michael WZ Li
Lisa Kanary »Lisa Kanary
Amy Hurford »Amy Hurford
Zahra Mohammadi »Zahra Mohammadi
Irena Papst »Irena Papst
Covid-19 »Covid-19
Steve Walker »Steve Walker
macpan2 »macpan2
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