epichains: Simulating and Analysing Transmission Chain Statistics Using Branching Process Models
Azam, JM
; Funk, S; Finger, F; Kamvar, ZN; Gruson, H; Mané, K; Gupte, P and Lambert, JW
(2024).
epichains: Simulating and Analysing Transmission Chain Statistics Using Branching Process Models.
[Dataset].
Comprehensive R Archive Network.
https://cran.r-project.org/package=epichains
; Funk, S; Finger, F; Kamvar, ZN; Gruson, H; Mané, K; Gupte, P and Lambert, JW
(2024).
epichains: Simulating and Analysing Transmission Chain Statistics Using Branching Process Models.
[Dataset].
Comprehensive R Archive Network.
https://cran.r-project.org/package=epichains
Provides methods to simulate and analyse the size and length of branching processes with an arbitrary offspring distribution. These can be used, for example, to analyse the distribution of chain sizes or length of infectious disease outbreaks, as discussed in Farrington et al. (2003) <doi:10.1093/biostatistics/4.2.279>.
Keywords
R package| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | Other |
| Date | 14 October 2024 |
| Language(s) of written materials | English |
| Creator(s) |
Azam, JM; Funk, S; Finger, F; Kamvar, ZN; Gruson, H; Mané, K; Gupte, P and Lambert, JW
|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & Dynamics (2023-) |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 21 Jul 2025 09:40 |
| Last Modified | 04 Jun 2026 14:33 |
| Publisher | Comprehensive R Archive Network |
No files available. Please consult associated links.
