rmgeo: The multivariate geometric distribution (MGEO)

In camponsah/BivMixDist: Fit bivariate continous and discrete distributions as well as provide EM algorithm for discrete Pareto

Description

Random sample generating function for multivariate geometric distribution with parameters $p_1,...,p_d$ in (0,1)$ and -1<θ < \dfrac{1-\min(p_1,...,p_d)}{1+\min(p_1,...,p_d)}.

Usage

rmgeo(n, theta, prob)

Arguments

n	size of sample.
theta	numeric parameter which must be greater than -1 but less than (1-min(p))/(1+min(p)).
prob	vector of parameters between 0 and 1.

Details

rmgeo generates random sample from MGEO distribution.

Value

vector of random samples generate from MGEO model.

References

Amponsah, C. K., & Kozubowski, T.J. (2022). A mixed multivariate distribution with bivariate exponential and geometric marginals. Inprint. https://doi.org/10.1016/j.jspi.2004.04.010

Examples

N<-rmgeo(n=20, theta = 0.6, prob = c(0.2, 0.5))
N

camponsah/BivMixDist documentation built on Nov. 15, 2021, 3:11 a.m.