Description Usage Arguments Details Value Author(s) Examples

Random generation functions of doubly truncated data with two different patterns of observational bias.

1 |

`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. |

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.

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 ≤q X ≤q V)*.

Carla Moreira, Jacobo de Uña-Álvarez and Rosa Crujeiras

1 | ```
rsim.DT(500,1/2, model=2)
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.