pMKW: Modified Kumaraswamy Weibull (MKW) Cumulative Distribution...
In AmoudSurv: Tractable Parametric Odds-Based Regression Models
pMKW R Documentation
Modified Kumaraswamy Weibull (MKW) Cumulative Distribution Function.
Description
Modified Kumaraswamy Weibull (MKW) Cumulative Distribution Function.
Usage
pMKW(t, alpha, kappa, eta)
Arguments
t
: positive argument
alpha
: Inverse scale parameter
kappa
: shape parameter
eta
: shape parameter
Value
the value of the MKW cumulative distribution 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)
pMKW(t=t,alpha=0.35, kappa=0.7, eta=1.4)
AmoudSurv documentation built on Sept. 8, 2022, 5:09 p.m.
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| pMKW | R Documentation |
Modified Kumaraswamy Weibull (MKW) Cumulative Distribution Function.
Description
Modified Kumaraswamy Weibull (MKW) Cumulative Distribution Function.
Usage
pMKW(t, alpha, kappa, eta)
Arguments
t |
: positive argument |
alpha |
: Inverse scale parameter |
kappa |
: shape parameter |
eta |
: shape parameter |
Value
the value of the MKW cumulative distribution 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) pMKW(t=t,alpha=0.35, kappa=0.7, eta=1.4)
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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