projections: Project Future Case Incidence
; 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.
Alternative Title
reconhub/projections
Keywords
Daily incidence; Projection; Poisson-distributed number| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | Experiment |
| Date | 30 July 2020 |
| Language(s) of written materials | English |
| Creator(s) |
Jombart, T; Nouvellet, P; Bhatia, S; Kamvar, ZN; Taylor, T and Ghozzi, S
|
| 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 |
No files available. Please consult associated links.
