Jombart, T, Nouvellet, P, Bhatia, S, Kamvar, ZN, Taylor, T and Ghozzi, S. 2020. projections: Project Future Case Incidence. [Online]. The Comprehensive R Archive Network. Available from: https://cran.r-project.org/package=projections
Jombart, T, Nouvellet, P, Bhatia, S, Kamvar, ZN, Taylor, T and Ghozzi, S. projections: Project Future Case Incidence [Internet]. The Comprehensive R Archive Network; 2020. Available from: https://cran.r-project.org/package=projections
Jombart, T, Nouvellet, P, Bhatia, S, Kamvar, ZN, Taylor, T and Ghozzi, S (2020). projections: Project Future Case Incidence. [Data Collection]. The Comprehensive R Archive Network. https://cran.r-project.org/package=projections
Alternative Title
reconhub/projections
Description
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
| Data capture method | Experiment |
|---|---|
| Date (Published in a 3rd party system) | 30 July 2020 |
| Language(s) of written materials | English |
| Data Creators | 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 |
