pgammamixdpareto: The gamma mixture discrete Pareto distribution (GMDP)

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

Description

Distribution function for gamma mixture discrete Pareto distribution with parameters α >0, β > 0, δ ≥ 0 and p in (0,1).

Usage

pgammamixdpareto(data, alpha, beta, delta, p, lower.tail = TRUE, log.p = FALSE)

Arguments

data	vector (X,N) representing observation from GMDP model.
alpha	numeric parameter which must be greater than 0.
beta	numeric parameter which must be greater than 0.
delta	numeric parameter which must be greater than or equal to 0.
p	numeric parameter between 0 and 1.
lower.tail	logical; if TRUE (default), probabilities are P[X ≤ x, N ≤q n], otherwise, P[X > x, N > n].
log.p	logical; if TRUE, probabilities p are given as log(p).

Details

pgammamixdpareto is the distribution function of GMDP model.

Value

vector of probabilities.

References

Amponsah, C. K., Kozubowski, T. J. and Panorska, A. K. (2019). A bivariate distribution with gamma mixture discrete Pareto marginals . In print. https://scholarworks.unr.edu/bitstream/handle/11714/2065/Amponsah_unr_0139M_12378.pdf?sequence=1&isAllowed=y

Examples

data.df<-rgammamixdpareto(20,alpha=1.5, beta=2, delta=0.1, p=0.3)
prob<- pgammamixdpareto(data.df,alpha=1.5, beta=2, delta=0.1, p=0.3)
prob

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