pGLL: Generalized Log-logistic (GLL) cumulative distribution...
In AmoudSurv: Tractable Parametric Odds-Based Regression Models
pGLL R Documentation
Generalized Log-logistic (GLL) cumulative distribution function.
Description
Generalized Log-logistic (GLL) cumulative distribution function.
Usage
pGLL(t, kappa, alpha, eta)
Arguments
t
: positive argument
kappa
: scale parameter
alpha
: shape parameter
eta
: shape parameter
Value
the value of the GLL cumulative distribution function
Author(s)
Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Christophe Chesneau abdisalam.hassan@amoud.edu.so
References
Muse, A. H., Mwalili, S., Ngesa, O., Almalki, S. J., & Abd-Elmougod, G. A. (2021). Bayesian and classical inference for the generalized log-logistic distribution with applications to survival data. Computational intelligence and neuroscience, 2021.
Examples
t=runif(10,min=0,max=1)
pGLL(t=t, kappa=0.5, alpha=0.35, eta=0.9)
AmoudSurv documentation built on Sept. 8, 2022, 5:09 p.m.
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| pGLL | R Documentation |
Generalized Log-logistic (GLL) cumulative distribution function.
Description
Generalized Log-logistic (GLL) cumulative distribution function.
Usage
pGLL(t, kappa, alpha, eta)
Arguments
t |
: positive argument |
kappa |
: scale parameter |
alpha |
: shape parameter |
eta |
: shape parameter |
Value
the value of the GLL cumulative distribution function
Author(s)
Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Christophe Chesneau abdisalam.hassan@amoud.edu.so
References
Muse, A. H., Mwalili, S., Ngesa, O., Almalki, S. J., & Abd-Elmougod, G. A. (2021). Bayesian and classical inference for the generalized log-logistic distribution with applications to survival data. Computational intelligence and neuroscience, 2021.
Examples
t=runif(10,min=0,max=1) pGLL(t=t, kappa=0.5, alpha=0.35, eta=0.9)
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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