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epigrowthfit  

Nonlinear Mixed Effects Models of Epidemic Growth
View on CRAN: Click here


Download and install epigrowthfit package within the R console
Install from CRAN:
install.packages("epigrowthfit")

Install from Github:
library("remotes")
install_github("cran/epigrowthfit")

Install by package version:
library("remotes")
install_version("epigrowthfit", "0.15.3")



Attach the package and use:
library("epigrowthfit")
Maintained by
Mikael Jagan
[Scholar Profile | Author Map]
First Published: 2024-04-25
Latest Update: 2024-04-25
Description:
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>.
How to cite:
Mikael Jagan (2024). epigrowthfit: Nonlinear Mixed Effects Models of Epidemic Growth. R package version 0.15.3, https://cran.r-project.org/web/packages/epigrowthfit. Accessed 22 Feb. 2025.
Previous versions and publish date:
0.15.2 (2024-04-25 18:20), 0.15.3 (2024-06-18 06:00)
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Complete documentation for epigrowthfit
Functions, R codes and Examples using the epigrowthfit R package
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