CHGLL {AHSurv}R Documentation

Generalized Log-logistic (GLL) cumulative hazard function.

Description

Generalized Log-logistic (GLL) cumulative hazard function.

Usage

CHGLL(t, kappa, alpha, eta)

Arguments

t

: positive argument

kappa

: scale parameter

alpha

: shape parameter

eta

: shape parameter

Value

the value of the GLL cumulative hazard function

Author(s)

Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Mutua Kilai, abdisalam.hassan@amoud.edu.so

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)
CHGLL(t=t, kappa=0.5, alpha=0.35, eta=0.9)


[Package AHSurv version 0.1.0 Index]