.rgen_length

Samples the length of a transmission chain where each individual element is
observed with binomial probability with parameters n (number of successes)
and p (success probability)

internal

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

.rgen_length function

<dl><dt>n</dt>
<dd>The number of samples to generate. Must be a positive integer.</dd>
<dt>x</dt>
<dd>A numeric vector of the observed chain lengths.</dd>
<dt>prob</dt>
<dd>The probability of observation. A numeric between 0 and 1.</dd></dl>

Arguments

Author

Samples chain lengths with given observation probabilities — .rgen_length

<dl>

<dt>n</dt>
<dd>The number of samples to generate. Must be a positive integer.</dd>


<dt>x</dt>
<dd>A numeric vector of the observed chain lengths.</dd>


<dt>prob</dt>
<dd>The probability of observation. A numeric between 0 and 1.</dd>

</dl>

Samples chain lengths with given observation probabilities

.rgen_length: Samples chain lengths with given observation probabilities

Description

Usage

Value

Arguments

Author