alcdf | Asymmetric Laplace distribution |

alcdfstd | CDF of standard asymmetric Laplace distribution |

bqror | Bayesian quantile regression for ordinal models |

covariateEffect_or1 | Covariate effect for Bayesian quantile regression for ordinal quantile model with more than 3 outcomes |

covariateEffect_or2 | Covariate effect for Bayesian quantile regression for ordinal quantile model with 3 outcomes |

data25j3 | Data containing 500 observations generated from the quantile ordinal model with 3 outcomes and p = 0.25 (i.e., 25th quantile) |

data25j4 | Data containing 500 observations generated from the quantile ordinal model with 4 outcomes and p = 0.25 (i.e., 25th quantile) |

data50j3 | Data containing 500 observations generated from the quantile ordinal model with 3 outcomes and p = 0.5 (i.e., 50th quantile) |

data50j4 | Data containing 500 observations generated from the quantile ordinal model with 4 outcomes and p = 0.5 (i.e., 50th quantile) |

data75j3 | Data containing 500 observations generated from the quantile ordinal model with 3 outcomes and p = 0.75 (i.e., 75th quantile) |

data75j4 | Data containing 500 observations generated from the quantile ordinal model with 4 outcomes and p = 0.75 (i.e., 75th quantile) |

deviance_or1 | Deviance Information Criteria for ordinal quantile model with more than 3 outcomes |

deviance_or2 | Deviance Information Criteria for ordinal quantile model with 3 outcomes |

drawbeta_or1 | Samples beta for ordinal quantile model with more than 3 outcomes |

drawbeta_or2 | Samples beta for ordinal quantile model with 3 outcomes |

drawdelta_or1 | Samples delta for ordinal quantile model with more than 3 outcomes |

drawlatent_or1 | Samples the latent variable z for ordinal quantile model with more than 3 outcomes |

drawlatent_or2 | Samples the latent variable z for ordinal quantile model with 3 outcomes |

drawnu_or2 | Samples the scale factor nu for ordinal quantile model with 3 outcomes |

drawsigma_or2 | Samples the sigma for ordinal quantile model with 3 outcomes |

draww_or1 | Samples the latent weight w for ordinal quantile model with more than 3 outcomes |

Educational_Attainment | The data consists of information on educational attainment and other variables for 3,923 individuals and is taken from the National Longitudinal Study of Youth (NLSY, 1979) survey. |

infactor_or1 | Inefficiency factor for ordinal quantile model with more than 3 outcomes |

infactor_or2 | Inefficiency factor for ordinal quantile model with 3 outcomes |

logMargLikelihood_or1 | Marginal likelihood for ordinal quantile model with more than 3 outcomes |

logMargLikelihood_or2 | Marginal likelihood for ordinal quantile model with 3 outcomes |

Policy_Opinion | The data consists of public opinion on raising federal income taxes on the rich and a host of other variables for 1,164 individuals and is taken from the 2010-2012 American National Election Studies (ANES) on the Evaluation of Government and Society Study I (EGSS 1) |

qrminfundtheorem | Minimize the negative of log-likelihood |

qrnegLogLikensum_or1 | Negative log-likelihood for ordinal quantile model with more than 3 outcomes |

qrnegLogLike_or2 | Negative log-likelihood for ordinal quantile model with 3 outcomes |

quantreg_or1 | Bayesian quantile regression for ordinal quantile model with more than 3 outcomes |

quantreg_or2 | Bayesian quantile regression for ordinal quantile model with 3 outcomes |

rndald | Generates random numbers from an asymmetric Laplace distribution |

traceplot_or1 | Trace plots for ordinal quantile model with more than 3 outcomes |

traceplot_or2 | Trace plots for ordinal quantile model with 3 outcomes |