sGLL: Generalized Log-logistic (GLL) survivor function.

In AmoudSurv: Tractable Parametric Odds-Based Regression Models

Generalized Log-logistic (GLL) survivor function.

Description

Generalized Log-logistic (GLL) survivor function.

Usage

sGLL(t, kappa, alpha, eta)

Arguments

t	: positive argument
kappa	: scale parameter
alpha	: shape parameter
eta	: shape parameter

Value

the value of the GLL survivor function

Author(s)

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

References

Muse, A. H., Mwalili, S., Ngesa, O., Alshanbari, H. M., Khosa, S. K., & Hussam, E. (2022). Bayesian and frequentist approach for the generalized log-logistic accelerated failure time model with applications to larynx-cancer patients. Alexandria Engineering Journal, 61(10), 7953-7978.

Examples

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

AmoudSurv documentation built on Sept. 8, 2022, 5:09 p.m.