This function simulates bivariate uniform data via Beta(1-t,1+t) and a specified correlation (rho) as seen in Demirtas (2014).

1 | ```
genbivunif.t(N=10000, rho, print.cor=TRUE)
``` |

`N` |
The sample size for the bivariate uniform data to be simulated. Default is 10,000. |

`rho` |
Theoretical correlation for the uniform data to be simulated. |

`print.cor` |
Option to print correlation results. Default is TRUE. |

A list of length 3 containing the simulated bivariate uniform data, the theoretical correlation specified by the user, and the empirical correlation of the simulated data titled unif.dat, specified.rho, and empirical.rho, respectively.

1 2 3 | ```
set.seed(567)
res.gent<-genbivunif.t(N=10000, rho=0.9)
#"Specified rho is 0.9 and empirical rho is 0.897883."
``` |

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