CHPGW: Power Generalised Weibull (PGW) cumulative hazard function.
In AHSurv: Flexible Parametric Accelerated Hazards Models
CHPGW R Documentation
Power Generalised Weibull (PGW) cumulative hazard function.
Description
Power Generalised Weibull (PGW) cumulative hazard function.
Usage
CHPGW(t, kappa, alpha, eta)
Arguments
t
: positive argument
kappa
: scale parameter
alpha
: shape parameter
eta
: shape parameter
Value
the value of the PGW cumulative hazard function
Author(s)
Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Mutua Kilai, 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)
CHPGW(t=t, kappa=0.5, alpha=1.5, eta=0.6)
AHSurv documentation built on June 2, 2022, 5:06 p.m.
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| CHPGW | R Documentation |
Power Generalised Weibull (PGW) cumulative hazard function.
Description
Power Generalised Weibull (PGW) cumulative hazard function.
Usage
CHPGW(t, kappa, alpha, eta)
Arguments
t |
: positive argument |
kappa |
: scale parameter |
alpha |
: shape parameter |
eta |
: shape parameter |
Value
the value of the PGW cumulative hazard function
Author(s)
Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Mutua Kilai, 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) CHPGW(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.
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