Sampling Distribution F for Frank and Joe
Generate a vector of variates V ~ F from the distribution function F with Laplace-Stieltjes transform
(1-(1-exp(-t)*(1-e^(-theta1)))^alpha)/(1-e^(-theta0)),
for Frank, or
1-(1-exp(-t))^alpha
for Joe, respectively, where theta0 and theta1 denote two parameters of Frank (that is, theta0,theta1 in (0,Inf)) and Joe (that is, theta0,theta1 in [1,Inf)) satisfying theta0 <= theta1 and alpha=theta0/theta1.
rFFrank(n, theta0, theta1, rej) rFJoe(n, alpha)
n |
number of variates from F. |
theta0 |
parameter theta0. |
theta1 |
parameter theta1. |
rej |
method switch for |
alpha |
parameter alpha = theta0/theta1 in (0,1] for
|
numeric vector of random variates V of length n
.
## Simple definition of the functions: rFFrank rFJoe
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.