Bayes_ord |
Bayesian ordinal regression analysis Estimate the correlation coefficients of treatment variable, with and without the proportional odds assumption |

example.data |
Clinical ordinal endpoints and treatments assignment for 200 patient |

get_oc_NPO |
Generate operating characteristics for Bayesian two-stage trial design of ordinal endpoints without proportional odds assumption |

get_oc_PO |
Generate operating characteristics for Bayesian two-stage trial design of ordinal endpoints with proportional odds assumption |

get_oc_Switch |
Generate operating characteristics for Bayesian two-stage trial design of ordinal endpoints without proportional odds assumption. |

rjmcmc_func |
Perform reversible-jump MCMC post-process to select appropriate model between proportional odds (PO) model and non-proportional odds (NPO) model |

ss_npo |
Determine the sample size for Bayesian two-stage trial design of ordinal endpoints without proportional odds assumption |

ss_po |
Determine the sample size for Bayesian two-stage trial design of ordinal endpoints with proportional odds assumption |

ss_switch |
Determine the sample size for Bayesian two-stage trial design for ordinal endpoints based on switch model |