pGLL {AmoudSurv}

Generalized Log-logistic (GLL) cumulative distribution function.

Description

Generalized Log-logistic (GLL) cumulative distribution function.

Usage

pGLL(t, kappa, alpha, eta)

Arguments

t

: positive argument

kappa

: scale parameter

alpha

: shape parameter

eta

: shape parameter

Value

the value of the GLL cumulative distribution function

Author(s)

Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Christophe Chesneau [e-mail]

References

Muse, A. H., Mwalili, S., Ngesa, O., Almalki, S. J., & Abd-Elmougod, G. A. (2021). Bayesian and classical inference for the generalized log-logistic distribution with applications to survival data. Computational intelligence and neuroscience, 2021.

Examples

t=runif(10,min=0,max=1)
pGLL(t=t, kappa=0.5, alpha=0.35, eta=0.9)