TBF Methodology Extension for Multinomial Outcomes

AIC_BIC_based_marginalLikelihood | Marginal likelihoods based on AIC or BIC |

all_formulas | Formulas of all the candidate models |

as.data.frame | Convert a PMP object into a data frame |

CSVS | Cause-specific variable selection (CSVS) |

model_priors | Prior model probability |

PIPs_by_landmarking | Posterior inclusion probabilities (PIPs) by landmarking |

plot_CSVS | Plot a CSVS object |

PMP | Posterior model probability |

PMP-class | Class for PMP objects |

postInclusionProb | Posterior inclusion probability (PIP) |

sample_multinomial | Samples from a PMP object |

TBF | Test-based Bayes factor |

TBF_ingredients | Ingredients to calculate the TBF |

TBFmultinomial-package | Objective Bayesian variable selection for multinomial... |

VAP_data | Data on VAP acquistion in one ICU |

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