EpiNow2: Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters

Estimates the time-varying reproduction number, rate of spread, and doubling time using a range of open-source tools (Abbott et al. (2020) <doi:10.12688/wellcomeopenres.16006.1>), and current best practices (Gostic et al. (2020) <doi:10.1101/2020.06.18.20134858>). It aims to help users avoid some of the limitations of naive implementations in a framework that is informed by community feedback and is under active development.

Package details

AuthorSam Abbott [aut, cre] (<https://orcid.org/0000-0001-8057-8037>), Joel Hellewell [aut] (<https://orcid.org/0000-0003-2683-0849>), Katharine Sherratt [aut], Katelyn Gostic [aut], Joe Hickson [aut], Hamada S. Badr [aut] (<https://orcid.org/0000-0002-9808-2344>), Michael DeWitt [aut] (<https://orcid.org/0000-0001-8940-1967>), Robin Thompson [aut], Sophie Meakin [ctb], James Munday [ctb], Nikos Bosse [ctb], Paul Mee [ctb], Peter Ellis [ctb], EpiForecasts [aut], Sebastian Funk [aut]
MaintainerSam Abbott <sam.abbott@lshtm.ac.uk>
LicenseMIT + file LICENSE
Version1.3.2
URL https:/epiforecasts.io/EpiNow2/ https:/epiforecasts.io/EpiNow2/dev/ https://github.com/epiforecasts/EpiNow2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("EpiNow2")

Try the EpiNow2 package in your browser

Any scripts or data that you put into this service are public.

EpiNow2 documentation built on Jan. 13, 2021, 10:51 a.m.