| 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]