urexp {Runuran} | R Documentation |
UNU.RAN Exponential random variate generator
Description
UNU.RAN random variate generator for the Exponential distribution with
rate rate
(i.e., mean 1/rate
).
It also allows sampling from the truncated distribution.
[Special Generator] – Sampling Function: Exponential.
Usage
urexp(n, rate=1, lb=0, ub=Inf)
Arguments
n |
size of required sample. |
rate |
(strictly positive) rate parameter. |
lb |
lower bound of (truncated) distribution. |
ub |
upper bound of (truncated) distribution. |
Details
If rate
is not specified, it assumes the default value of
1
.
The Exponential distribution with rate \lambda
has density
f(x) = \lambda e^{-\lambda x}
for x \ge 0
.
The generation algorithm uses fast numerical inversion. The parameters
lb
and ub
can be used to generate variates from
the Exponential distribution truncated to the interval (lb
,ub
).
Note
This function is a wrapper for the UNU.RAN class in R.
Compared to rexp
, urexp
is faster, especially for
larger sample sizes.
However, in opposition to rexp
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
rexp
for the R built-in generator.
Examples
## Create a sample of size 1000
x <- urexp(n=1000)