projections: Project Future Case Incidence
Jombart, T
, Nouvellet, P, Bhatia, S, Kamvar, ZN, Taylor, T and Ghozzi, S
(2020).
projections: Project Future Case Incidence.
[Dataset].
The Comprehensive R Archive Network.
https://cran.r-project.org/package=projections
Provides functions and graphics for projecting daily incidence based on past incidence, and estimates of the serial interval and reproduction number. Projections are based on a branching process using a Poisson-distributed number of new cases per day, similar to the model used for estimating R in 'EpiEstim' or in 'earlyR', and described by Nouvellet et al. (2017) <doi:10.1016/j.epidem.2017.02.012>. The package provides the S3 class 'projections' which extends 'matrix', with accessors and additional helpers for handling, subsetting, merging, or adding these objects, as well as dedicated printing and plotting methods.
Keywords
Daily incidence, Projection, Poisson-distributed numberItem Type | Dataset |
---|---|
Capture method | Experiment |
Date | 30 July 2020 |
Language(s) of written materials | English |
Creator(s) |
Jombart, T |
LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
Research Centre | Centre for the Mathematical Modelling of Infectious Diseases |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 23 Jul 2020 15:45 |
Last Modified | 08 Jul 2021 12:52 |
Publisher | The Comprehensive R Archive Network |
Explore Further
- The Comprehensive R Archive Network (Online Data Resource)
- Zenodo (Data)
- Github (Data)
No files available. Please consult associated links.
- The Comprehensive R Archive Network (Online Data Resource)
- Zenodo (Data)
- Github (Data)
Downloads
ORCID: https://orcid.org/0000-0003-2226-8692