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epichains: Simulating and Analysing Transmission Chain Statistics Using Branching Process Models
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>.
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Package details |
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| Author | James M. Azam [aut, cre, cph] (<https://orcid.org/0000-0001-5782-7330>), Sebastian Funk [aut, cph] (<https://orcid.org/0000-0002-2842-3406>), Flavio Finger [aut] (<https://orcid.org/0000-0002-8613-5170>), Zhian N. Kamvar [ctb] (<https://orcid.org/0000-0003-1458-7108>), Hugo Gruson [ctb, rev] (<https://orcid.org/0000-0002-4094-1476>), Karim Mané [rev] (<https://orcid.org/0000-0002-9892-2999>), Pratik Gupte [rev] (<https://orcid.org/0000-0001-5294-7819>), Joshua W. Lambert [rev] (<https://orcid.org/0000-0001-5218-3046>) |
| Maintainer | James M. Azam <james.azam@lshtm.ac.uk> |
| License | MIT + file LICENSE |
| Version | 0.1.1 |
| URL | https://github.com/epiverse-trace/epichains https://epiverse-trace.github.io/epichains/ |
| Package repository | View on CRAN |
| Installation |
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