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>.

Version:	0.1.1
Depends:	R (≥ 3.6.0)
Imports:	checkmate, stats, utils
Suggests:	bookdown, dplyr, epicontacts, ggplot2, knitr, lubridate, rmarkdown, spelling, testthat, truncdist
Published:	2024-10-14
DOI:	10.32614/CRAN.package.epichains
Author:	James M. Azam [aut, cre, cph], Sebastian Funk [aut, cph], Flavio Finger [aut], Zhian N. Kamvar [ctb], Hugo Gruson [ctb, rev], Karim Mané [rev], Pratik Gupte [rev], Joshua W. Lambert [rev]
Maintainer:	James M. Azam <james.azam at lshtm.ac.uk>
BugReports:	https://github.com/epiverse-trace/epichains/issues
License:	MIT + file LICENSE
URL:	https://github.com/epiverse-trace/epichains, https://epiverse-trace.github.io/epichains/
NeedsCompilation:	no
Language:	en-GB
Materials:	README NEWS
CRAN checks:	epichains results

Documentation:

Reference manual:	epichains.pdf
Vignettes:	Literature on branching process applications (source, R code) Design Principles for {epichains} (source, R code) Getting started with epichains (source, R code) Modelling disease control interventions (source, R code) Projecting infectious disease incidence: a COVID-19 example (source, R code) Theoretical background for epichains (source, R code)

Downloads:

Package source:	epichains_0.1.1.tar.gz
Windows binaries:	r-devel: epichains_0.1.1.zip, r-release: epichains_0.1.1.zip, r-oldrel: epichains_0.1.1.zip
macOS binaries:	r-release (arm64): epichains_0.1.1.tgz, r-oldrel (arm64): epichains_0.1.1.tgz, r-release (x86_64): epichains_0.1.1.tgz, r-oldrel (x86_64): epichains_0.1.1.tgz

Linking:

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