rgborel: Generate random numbers from a Gamma-Borel mixture...

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

Generate random numbers from a Gamma-Borel mixture distribution

Description

Generate random numbers from a Gamma-Borel mixture distribution

Usage

rgborel(n, size, prob, mu, censor_at = Inf)

Arguments

n	Number of random variates to generate.
size	The dispersion parameter (often called k in ecological applications); A positive number.
prob	Probability of success (in the parameterisation with prob, see also NegBinomial); A number between 0 and 1.
mu	Mean; A positive number.
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

Numeric vector of random numbers

Author(s)

Sebastian Funk James M. Azam

Examples

set.seed(32)
rgborel(n = 5, size = 0.3, mu = 1, censor_at = 5)

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