rdHTgamma: The family of discrete distributions with gamma hidden...

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

Description

Random sample generating function for the family of discrete distributions with gamma hidden truncation: parameters α,β,λ,δ, μ ≥ 0 and p,θ\in (0,1). p in (0,1).

Usage

rdHTgamma(
  n,
  x,
  alpha,
  beta,
  distr,
  lambda = NULL,
  prob = NULL,
  delta = NULL,
  size = NULL
)

Arguments

n	size of sample.
x	numeric truncation value which must be greater than or equal to 0.
alpha	numeric gamma shape parameter which must be greater than 0.
beta	numeric gamma rate parameter which must be greater than 0.
distr	a description of the discrete distribution which is truncated by gamma: "Poisson", "Geometric", "DPareto"(for discrete Pareto) and "nbinom" (for Negative binomial).
lambda	numeric Poisson parameter which must be greater than 0.
prob	numeric parameter between 0 and 1. Must be specified when distribution is either geometric or discrete Pareto or negative binomial.
delta	numeric discrete Pareto shape parameter which must be greater than or equal to 0.
size	numeric negative binomial parameter which must be greater than 0.

Details

rdHTgamma generates random sample from discrete Pareto distribution.

Value

vector of samples generate from discrete Pareto distribution.

References

Amponsah, C. K. and Kozubowski, T. J. (2021). Discrete Hidden Truncation models. In preparation. https://doi.org/not-done

Examples

N <- rdHTgamma(n=2, x=0.05, alpha = 1,beta = 100, distr = "Geometric",p = 0.5)
N

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