rgborel {epichains} | R Documentation |
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)
[Package
epichains version 0.1.1
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