sPGW: Power Generalised Weibull (PGW) survivor function.
In AmoudSurv: Tractable Parametric Odds-Based Regression Models
sPGW R Documentation
Power Generalised Weibull (PGW) survivor function.
Description
Power Generalised Weibull (PGW) survivor function.
Usage
sPGW(t, kappa, alpha, eta)
Arguments
t
: positive argument
kappa
: scale parameter
alpha
: shape parameter
eta
: shape parameter
Value
the value of the PGW survivor 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)
sPGW(t=t, kappa=0.5, alpha=1.5, eta=0.6)
AmoudSurv documentation built on Sept. 8, 2022, 5:09 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| sPGW | R Documentation |
Power Generalised Weibull (PGW) survivor function.
Description
Power Generalised Weibull (PGW) survivor function.
Usage
sPGW(t, kappa, alpha, eta)
Arguments
t |
: positive argument |
kappa |
: scale parameter |
alpha |
: shape parameter |
eta |
: shape parameter |
Value
the value of the PGW survivor 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) sPGW(t=t, kappa=0.5, alpha=1.5, eta=0.6)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.