rsim.DT {DTDA} | R Documentation |
Random generation functions of doubly truncated data
Description
Random generation functions of doubly truncated data with two different patterns of observational bias.
Usage
rsim.DT(n,tau, model=NULL)
Arguments
n |
number of observations to generate. |
tau |
length of the observational window. |
model |
model to be simulated. Number 1 or 2 corresponding to different patterns of observacional bias. |
Details
If model
=1, U\sim Unif(-\code{tau},1)
and V= U+ tau
. If model
=2, U \sim Unif(0,1)^2\times (\code{tau}+1)-\code{tau}
and V= U+ tau
. In model
=1 there is no observational bias due double truncation while in model
=2 double truncation induces observational bias.
Value
A matrix with n
unit length rows representing the generated values from a doubly truncated data with triplets (X, U and V)
, in which (U \leq X \leq V)
.
Author(s)
Carla Moreira, Jacobo de Uña-Álvarez and Rosa Crujeiras
Examples
set.seed(4321)
rsim.DT(500,1/2, model=2)
[Package DTDA version 3.0.1 Index]