R: Understand Individual-Level Variation in Infectious Disease Transmission

# Understand Individual-Level Variation in Infectious Disease Transmission

## Documentation for package ‘superspreading’ version 0.4.0

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

## Help Pages

calc_network_R | Calculate the reproduction number (R) for a (heterogeneous) network
constants | Constants used in 'superspreading'
dpoislnorm | Density of the Poisson-lognormal compound distribution
dpoisweibull | Density of the Poisson-Weibull compound distribution
FINITE_INF | Constants used in 'superspreading'
ic_tbl | Helper function to create a model comparison table
NSIM | Constants used in 'superspreading'
ppoislnorm | Cumulative distribution function of the Poisson-lognormal compound distribution
ppoisweibull | Cumulative distribution function of the Poisson-Weibull compound distribution
probability_contain | Probability that an outbreak will be contained
probability_emergence | Calculate the probability a disease will emerge and cause a sustained outbreak (R > 1) based on R and initial cases
probability_epidemic | Calculate the probability a disease will cause an outbreak based on R, k and initial cases
probability_extinct | Calculate the probability a branching process will go extinct based on R, k and initial cases
proportion_cluster_size | Estimate what proportion of new cases originated within a transmission event of a given size
proportion_transmission | Estimate what proportion of cases cause a certain proportion of transmission