Description Usage Arguments Author(s)

This function implements the idea of Bayesian Binary quantile regression employing a likelihood function that is based on the asymmetric Laplace distribution.

1 | ```
BBqr(x,y, tau =0.5, runs =11000, burn =1000, thin=1)
``` |

`x` |
Matrix of predictors. |

`y` |
Vector of dependent variable. |

`tau` |
The quantile of interest. Must be between 0 and 1. |

`runs` |
Length of desired Gibbs sampler output. |

`burn` |
Number of Gibbs sampler iterations before output is saved. |

`thin` |
thinning parameter of MCMC draws. |

Rahim Alhamzawi

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