epigrowthfit
Nonlinear Mixed Effects Models of Epidemic Growth
Maximum likelihood estimation of nonlinear mixed effects models of epidemic growth using Template Model Builder ('TMB'). Enables joint estimation for collections of disease incidence time series, including time series that describe multiple epidemic waves. Supports a set of widely used phenomenological models: exponential, logistic, Richards (generalized logistic), subexponential, and Gompertz. Provides methods for interrogating model objects and several auxiliary functions, including one for computing basic reproduction numbers from fitted values of the initial exponential growth rate. Preliminary versions of this software were applied in Ma et al. (2014) doi:10.1007/s11538-013-9918-2 and in Earn et al. (2020) doi:10.1073/pnas.2004904117.
- Version0.15.3
- R version≥ 4.3
- LicenseGPL-3
- Needs compilation?Yes
- Ma et al. (2014)
- Earn et al. (2020)
- Last release06/18/2024
Documentation
Team
Mikael Jagan
Junling Ma
Show author detailsRolesContributorBen Bolker
Jonathan Dushoff
David Earn
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- Imports3 packages
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