dgeopois: The Geometric with Poisson hidden truncation distribution

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

Description

Probability mass function for geometric with Poisson hidden truncation distribution: parameters λ > 0 and p \in (0,1).

Usage

dgeopois(N, lambda, p, log.p = FALSE)

Arguments

N	A vector of random sample from discrete Pareto.
lambda	numeric parameter which must be numeric greater than 0.
p	numeric parameter between 0 and 1.
log.p	logical; if TRUE, probabilities p are given as log(p).

Details

dgeopois gives the probability mass.

Value

vector representing probabilities P(N=n).

References

Amponsah, C. K. and Kozubowski, T. J. (2020). Geometric with Poisson hidden truncation distribution. Yet to publish

Examples

prob<-dgeopois(seq(1,10,1), lambda=0.2, p=0.6)
prob

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