Computes the pdf of the generalized power Weibull distribution
Usage
dgpw(x, alpha = 1, theta = 1)
Arguments
x
scale or vector of positive values at which the pdf needs to be computed
alpha
the value of alpha parameter, must be positive
theta
the value of theta parameter, must be positive
Value
An object of the same length as x, giving the pdf values computed at x
Note
If incorrect values are input for x or the model parameters then NaNs will be returned as the output.
Author(s)
Saralees Nadarajah
References
S. Nadarajah, S. A. A. Bakar, Tabulations of survival models for actuarial use, submitted
Examples
x=runif(10,min=0,max=1)
y=dgpw(x)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(ActuDistns)
Loading required package: reliaR
Loading required package: actuar
Attaching package: 'actuar'
The following object is masked from 'package:grDevices':
cm
Loading required package: hypergeo
Attaching package: 'ActuDistns'
The following objects are masked from 'package:actuar':
dpareto, qpareto
The following objects are masked from 'package:reliaR':
dchen, dgompertz, hchen, hgompertz, hgumbel, qchen, qgompertz
The following object is masked from 'package:stats':
qweibull
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ActuDistns/dgpw.Rd_%03d_medium.png", width=480, height=480)
> ### Name: dgpw
> ### Title: Generalized power Weibull pdf
> ### Aliases: dgpw
> ### Keywords: Generalized power Weibull distribution
>
> ### ** Examples
> x=runif(10,min=0,max=1)
> y=dgpw(x)
>
>
>
>
>
> dev.off()
null device
1
>