R: Simulating and Analysing Transmission Chain Statistics Using Branching Process Models

# Simulating and Analysing Transmission Chain Statistics Using Branching Process Models

## Documentation for package ‘epichains’ version 0.1.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

aggregate.epichains | Aggregate cases in <epichains> objects by "generation" or "time", if present
covid19_sa | COVID-19 Data Repository for South Africa
dborel | Density of the Borel distribution
head.epichains | 'head' and 'tail' method for <epichains> class
likelihood | Estimate the log-likelihood/likelihood for observed branching processes
print.epichains | Print an <epichains> object
print.epichains_summary | Print an <epichains_summary> object
rborel | Generate random numbers from the Borel distribution
rgborel | Generate random numbers from a Gamma-Borel mixture distribution
simulate_chains | Simulate transmission chains
simulate_chain_stats | Simulate a vector of transmission chains statistics (sizes/lengths)
summary.epichains | Summary method for <epichains> class
summary.epichains_summary | Summary method for <epichains_summary> class
tail.epichains | 'head' and 'tail' method for <epichains> class