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]