rborel: Generate random numbers from the Borel distribution

In epichains: Simulating and Analysing Transmission Chain Statistics Using Branching Process Models

Generate random numbers from the Borel distribution

Description

Random numbers are generated by simulating from a Poisson branching process

Usage

rborel(n, mu, censor_at = Inf)

Arguments

n	Number of random variates to generate.
mu	A non-negative number for the poisson mean.
censor_at	A stopping criterion; ⁠<numeric>⁠. Defaults to Inf. A value above which the simulation ends and the random number is set to Inf (as a form of censoring). rborel() simulates chain sizes using simulate_chain_stats() with a Poisson offspring distribution, so if mu >= 1, the simulation could proceed unendingly. This parameter is used to prevent this.

Value

A numeric vector of random numbers.

Author(s)

Sebastian Funk James M. Azam

Examples

set.seed(32)
rborel(5, 1)

epichains documentation built on Oct. 14, 2024, 5:10 p.m.