pPGW {AmoudSurv}R Documentation

Power Generalised Weibull (PGW) cumulative distribution function.

Description

Power Generalised Weibull (PGW) cumulative distribution function.

Usage

pPGW(t, kappa, alpha, eta)

Arguments

t

: positive argument

kappa

: scale parameter

alpha

: shape parameter

eta

: shape parameter

Value

the value of the PGW cumulative distribution function

Author(s)

Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Christophe Chesneau abdisalam.hassan@amoud.edu.so

References

Alvares, D., & Rubio, F. J. (2021). A tractable Bayesian joint model for longitudinal and survival data. Statistics in Medicine, 40(19), 4213-4229.

Examples

t=runif(10,min=0,max=1)
pPGW(t=t, kappa=0.5, alpha=1.5, eta=0.6)


[Package AmoudSurv version 0.1.0 Index]