| rgp {gp} | R Documentation |
Random values simulation from the generalized Poisson distribution
Description
Random values simulation from the generalized Poisson distribution.
Usage
rgp(n, theta, lambda, method)
Arguments
n |
The number of random values to generate. |
theta |
The value of the |
lambda |
The value of the |
method |
The simulation method to use. The available options are: "Inversion", "Branching", "Normal-Approximation", "Build-Up" and "Chop-Down". |
Details
The values \theta and \lambda affect the method of simulation to use.
See Li et al. (2020) for more information.
Value
A vector with values from the generalized Poisson distribution.
Author(s)
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
References
Li H., Demirtas H. & Chen R. (2020). RNGforGPD: An R Package for Generation of Univariate and Multivariate Generalized Poisson Data. R JOURNAL, 12(2): 173–188.
Demirtas H. (2017). On accurate and precise generation of generalized Poisson variates. Communications in Statistics - Simulation and Computation, 46(1): 489–499.
See Also
Examples
y <- rgp(1000, 10, 0.5, method = "Inversion")
gp.mle(y)