# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "epigrowthfit" in publications use:' type: software license: GPL-3.0-only title: 'epigrowthfit: Nonlinear Mixed Effects Models of Epidemic Growth' version: 0.15.4 doi: 10.32614/CRAN.package.epigrowthfit abstract: '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) and in Earn et al. (2020) .' authors: - family-names: Jagan given-names: Mikael email: jaganmn@mcmaster.ca orcid: https://orcid.org/0000-0002-3542-2938 - family-names: Bolker given-names: Ben orcid: https://orcid.org/0000-0002-2127-0443 repository: https://epiverse-connect.r-universe.dev repository-code: https://github.com/davidearn/epigrowthfit commit: 27f5b89eb525a6ffad3c2895c87296ee50a4bbc4 url: https://github.com/davidearn/epigrowthfit date-released: '2024-06-18' contact: - family-names: Jagan given-names: Mikael email: jaganmn@mcmaster.ca orcid: https://orcid.org/0000-0002-3542-2938