.rbinom_size

Samples the size parameter from the binomial distribution with fixed x
(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

.rbinom_size function

<dl><dt>n</dt>
<dd>The number of samples to generate. Must be a positive integer.</dd>
<dt>x</dt>
<dd>The number of successes. Must be a positive integer.</dd>
<dt>prob</dt>
<dd>The probability of success. A numeric between 0 and 1.</dd></dl>

Arguments

Author

Samples size (the number of trials) of a binomial distribution — .rbinom_size

<dl>

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


<dt>x</dt>
<dd>The number of successes. Must be a positive integer.</dd>


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

</dl>

Samples size (the number of trials) of a binomial distribution

.rbinom_size: Samples size (the number of trials) of a binomial distribution

Description

Usage

Value

Arguments

Author