dgammamixdpareto: 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

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

Usage

dgammamixdpareto(data, alpha, beta, delta, p, 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.
log.p	logical; if TRUE, probabilities p are given as log(p).

Details

dgammamixdpareto is the density function of GMDP model.

Value

vector of densities.

References

Amponsah, C. K., Kozubowski, T. J. and Panorska, A. K. (2019). A bivariate distribution with gamma mixture discrete Pareto margins . 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)
den<- dgammamixdpareto(data.df,alpha=1.5, beta=2, delta=0.1, p=0.3)
den

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