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>.

Version:	0.15.2
Depends:	R (≥ 4.3.0)
Imports:	Matrix (≥ 1.6-2), TMB, grDevices, graphics, methods, nlme, stats, tools, utils
LinkingTo:	RcppEigen (≥ 0.3.4.0.0), TMB
Suggests:	emdbook
Published:	2024-04-25
Author:	Mikael Jagan [aut, cre], Ben Bolker [aut], Jonathan Dushoff [ctb], David Earn [ctb], Junling Ma [ctb]
Maintainer:	Mikael Jagan <jaganmn at mcmaster.ca>
BugReports:	https://github.com/davidearn/epigrowthfit/issues
License:	GPL-3
URL:	https://github.com/davidearn/epigrowthfit
NeedsCompilation:	yes
Materials:	NEWS
CRAN checks:	epigrowthfit results

Documentation:

Reference manual:

epigrowthfit.pdf

Downloads:

Package source:	epigrowthfit_0.15.2.tar.gz
Windows binaries:	r-devel: epigrowthfit_0.15.2.zip, r-release: epigrowthfit_0.15.2.zip, r-oldrel: epigrowthfit_0.15.2.zip
macOS binaries:	r-release (arm64): epigrowthfit_0.15.2.tgz, r-oldrel (arm64): epigrowthfit_0.15.2.tgz, r-release (x86_64): epigrowthfit_0.15.2.tgz, r-oldrel (x86_64): epigrowthfit_0.15.2.tgz

Linking:

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