rEL {ExtendedLaplace} | R Documentation |
Random Sample Generation of the Extended Laplace Distribution
Description
Generates random samples from the Extended Laplace distribution using the convolution representation: Y = X + U
, where X \sim \text{Laplace}(\mu, \sigma)
and U \sim \text{Uniform}(-\delta, \delta)
.
Usage
rEL(n, mu, sigma, delta)
Arguments
n |
Integer. Sample size. |
mu |
Numeric. Location parameter. |
sigma |
Numeric. Scale parameter (must be > 0). |
delta |
Numeric. Uniform noise parameter (must be > 0). |
Value
A numeric vector of random samples from the Extended Laplace distribution.
References
Saah, D. K., & Kozubowski, T. J. (2025). A new class of extended Laplace distributions with applications to modeling contaminated Laplace data. Journal of Computational and Applied Mathematics. doi:10.1016/j.cam.2025.116588
Examples
rEL(10, mu = 0, sigma = 1, delta = 0.5)
[Package ExtendedLaplace version 0.1.6 Index]