dborel

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>.

James M. Azam

epichains

Simulating and Analysing Transmission Chain Statistics Using
Branching Process Models

Sebastian Funk

Flavio Finger

Zhian N. Kamvar

Hugo Gruson

Karim Mané

Pratik Gupte

Joshua W. Lambert

dborel function

<dl><dt>x</dt>
<dd>A numeric vector of quantiles.</dd>
<dt>mu</dt>
<dd>A non-negative number for the poisson mean.</dd>
<dt>log</dt>
<dd>Logical; if TRUE, probabilities p are given as log(p).</dd></dl>

Arguments

Author

Density of the Borel distribution — dborel

<dl>

<dt>x</dt>
<dd>A numeric vector of quantiles.</dd>


<dt>mu</dt>
<dd>A non-negative number for the poisson mean.</dd>


<dt>log</dt>
<dd>Logical; if TRUE, probabilities p are given as log(p).</dd>

</dl>

Density of the Borel distribution

dborel: Density of the Borel distribution

Description

Usage

Value

Arguments

Author

Examples