pdGG: Generalised Gamma (GG) Probability Density Function.
In AmoudSurv: Tractable Parametric Odds-Based Regression Models
pdGG R Documentation
Generalised Gamma (GG) Probability Density Function.
Description
Generalised Gamma (GG) Probability Density Function.
Usage
pdGG(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 GG probability density function
Author(s)
Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Christophe Chesneau abdisalam.hassan@amoud.edu.so
Examples
t=runif(10,min=0,max=1)
pdGG(t=t, kappa=0.5, alpha=0.35, eta=0.9,log=FALSE)
AmoudSurv documentation built on Sept. 8, 2022, 5:09 p.m.
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| pdGG | R Documentation |
Generalised Gamma (GG) Probability Density Function.
Description
Generalised Gamma (GG) Probability Density Function.
Usage
pdGG(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 GG probability density function
Author(s)
Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Christophe Chesneau abdisalam.hassan@amoud.edu.so
Examples
t=runif(10,min=0,max=1) pdGG(t=t, kappa=0.5, alpha=0.35, eta=0.9,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.
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