rborel: Random number generator from the Borel distribution
In sbfnk/bpmodels: Simulating and Analysing Transmission Chain Statistics using Branching Process Models
rborel R Documentation
Random number generator from the Borel distribution
Description
Random numbers are generated by simulating from a Poisson branching process
Usage
rborel(n, mu, infinite = Inf)
Arguments
n
number of random variates to generate.
mu
mu parameter (the Poisson mean).
infinite
any number to treat as infinite; simulations will be stopped
if this number is reached
Value
vector of random numbers
Author(s)
Sebastian Funk
sbfnk/bpmodels documentation built on Nov. 7, 2023, 5:16 a.m.
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| rborel | R Documentation |
Random number generator from the Borel distribution
Description
Random numbers are generated by simulating from a Poisson branching process
Usage
rborel(n, mu, infinite = Inf)
Arguments
n |
number of random variates to generate. |
mu |
mu parameter (the Poisson mean). |
infinite |
any number to treat as infinite; simulations will be stopped if this number is reached |
Value
vector of random numbers
Author(s)
Sebastian Funk
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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