pgeopois: 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

Distribution function for Geometric with Poisson hidden truncation distribution, where parameters: λ > 0 and p \in (0,1).

Usage

pgeopois(q, lambda, p, lower.tail = TRUE, log.p = FALSE)

Arguments

q	vector of quantiles representing numbers from discrete Pareto distribution.
lambda	numeric parameter which must be numeric greater than 0.
p	numeric parameter between 0 and 1.
lower.tail	logical; if TRUE (default), probabilities are P[N≤q n], otherwise, $P[N> n]$.
log.p	logical; if TRUE, probabilities p are given as log(p).

Details

pgeopois gives the distribution function.

Value

A vector cumulative probabilities

References

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

Examples

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

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