rMKW: Modified Kumaraswamy Weibull (MKW) Hazard Function.
In AmoudSurv: Tractable Parametric Odds-Based Regression Models
rMKW R Documentation
Modified Kumaraswamy Weibull (MKW) Hazard Function.
Description
Modified Kumaraswamy Weibull (MKW) Hazard Function.
Usage
rMKW(t, alpha, kappa, eta, log = FALSE)
Arguments
t
: positive argument
alpha
: inverse scale parameter
kappa
: shape parameter
eta
: shape parameter
log
:log scale (TRUE or FALSE)
Value
the value of the MKW hazard function
Author(s)
Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Christophe Chesneau abdisalam.hassan@amoud.edu.so
References
Khosa, S. K. (2019). Parametric Proportional Hazard Models with Applications in Survival analysis (Doctoral dissertation, University of Saskatchewan).
Examples
t=runif(10,min=0,max=1)
rMKW(t=t, alpha=0.35, kappa=0.7, eta=1.4, log=FALSE)
AmoudSurv documentation built on Sept. 8, 2022, 5:09 p.m.
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| rMKW | R Documentation |
Modified Kumaraswamy Weibull (MKW) Hazard Function.
Description
Modified Kumaraswamy Weibull (MKW) Hazard Function.
Usage
rMKW(t, alpha, kappa, eta, log = FALSE)
Arguments
t |
: positive argument |
alpha |
: inverse scale parameter |
kappa |
: shape parameter |
eta |
: shape parameter |
log |
:log scale (TRUE or FALSE) |
Value
the value of the MKW hazard function
Author(s)
Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Christophe Chesneau abdisalam.hassan@amoud.edu.so
References
Khosa, S. K. (2019). Parametric Proportional Hazard Models with Applications in Survival analysis (Doctoral dissertation, University of Saskatchewan).
Examples
t=runif(10,min=0,max=1) rMKW(t=t, alpha=0.35, kappa=0.7, eta=1.4, log=FALSE)
R Package Documentation
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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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