constants

FINITE_INF

NSIM

<code>FINITE_INF</code> is a large finite number used to approximate <code>Inf</code>.
<code>NSIM</code> is the number of simulations run when generating random samples or
branching process simulation replicates.

datasets

Estimate and understand individual-level variation in
transmission. Implements density and cumulative compound Poisson
discrete distribution functions ('Kremer et al.' (2021)
<doi:10.1038/s41598-021-93578-x>), as well as functions to calculate
infectious disease outbreak statistics given epidemiological
parameters on individual-level transmission; including the probability
of an outbreak becoming an epidemic/extinct ('Kucharski et al.' (2020)
<doi:10.1016/S1473-3099(20)30144-4>), or the cluster size
statistics, e.g. what proportion of cases cause X\% of transmission
('Lloyd-Smith et al.' (2005) <doi:10.1038/nature04153>).

Joshua W. Lambert

superspreading

Understand Individual-Level Variation in Infectious Disease
Transmission

Adam Kucharski

Dillon C. Adam

Sebastian Funk

Pratik Gupte

Hugo Gruson

James M. Azam

Chris Hartgerink

constants function

An object of class <code>numeric</code> of length 1.
An object of class <code>numeric</code> of length 1.

Format

Constants used in superspreading — constants

Constants used in superspreading

constants: Constants used in superspreading

Description

Usage

Arguments

Format