hPGW: Power Generalised Weibull (PGW) hazard function.
In AHSurv: Flexible Parametric Accelerated Hazards Models
hPGW R Documentation
Power Generalised Weibull (PGW) hazard function.
Description
Power Generalised Weibull (PGW) hazard function.
Usage
hPGW(t, kappa, alpha, eta, log = FALSE)
Arguments
t
: positive argument
kappa
: scale parameter
alpha
: shape parameter
eta
: shape parameter
log
:log scale (TRUE or FALSE)
Value
the value of the PGW hazard function
Author(s)
Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Mutua Kilai, abdisalam.hassan@amoud.edu.so
Examples
t=runif(10,min=0,max=1)
hPGW(t=t, kappa=0.5, alpha=1.5, eta=0.6,log=FALSE)
AHSurv documentation built on June 2, 2022, 5:06 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.
| hPGW | R Documentation |
Power Generalised Weibull (PGW) hazard function.
Description
Power Generalised Weibull (PGW) hazard function.
Usage
hPGW(t, kappa, alpha, eta, log = FALSE)
Arguments
t |
: positive argument |
kappa |
: scale parameter |
alpha |
: shape parameter |
eta |
: shape parameter |
log |
:log scale (TRUE or FALSE) |
Value
the value of the PGW hazard function
Author(s)
Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Mutua Kilai, abdisalam.hassan@amoud.edu.so
Examples
t=runif(10,min=0,max=1) hPGW(t=t, kappa=0.5, alpha=1.5, eta=0.6,log=FALSE)
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.