urbinom {Runuran} | R Documentation |
UNU.RAN Binomial random variate generator
Description
UNU.RAN random variate generator for the Binomial distribution
with parameters size
and prob
.
It also allows sampling from the truncated distribution.
[Special Generator] – Sampling Function: Binomial.
Usage
urbinom(n, size, prob, lb = 0, ub = size)
Arguments
n |
size of required sample. |
size |
number of trials (one or more). |
prob |
probability of success on each trial. |
lb |
lower bound of (truncated) distribution. |
ub |
upper bound of (truncated) distribution. |
Details
The Binomial distribution with size
= n
and
prob
= p
has density
p(x) = {n \choose x} {p}^{x} {(1-p)}^{n-x}
for x = 0, \ldots, n
.
The generation algorithm uses guide table based inversion. The parameters
lb
and ub
can be used to generate variates from
the Binomial distribution truncated to the interval (lb
,ub
).
Note
This function is a wrapper for the UNU.RAN class in R.
Compared to rbinom
, urbinom
is faster, especially for
larger sample sizes.
However, in opposition to rbinom
vector arguments are ignored,
i.e. only the first entry is used.
Author(s)
Josef Leydold and Wolfgang H\"ormann unuran@statmath.wu.ac.at.
References
W. H\"ormann, J. Leydold, and G. Derflinger (2004): Automatic Nonuniform Random Variate Generation. Springer-Verlag, Berlin Heidelberg
See Also
runif
and .Random.seed
about random number
generation, unuran
for the UNU.RAN class, and
rbinom
for the R built-in generator.
Examples
## Create a sample of size 1000 from the binomial distribution
x <- urbinom(n=1000,size=10,prob=0.3)