Bayesian Logistic Regression with Heavy-Tailed Priors

as.matrix.htlrfit | Create a Matrix of Markov Chain Samples |

bcbcsf_deltas | Bias-corrected Bayesian classification initial state |

colon | Colon tissues data |

evaluate_pred | Evaluate Prediction Results |

gendata_FAM | Generate simulated data with factor analysis model |

gendata_MLR | Generate simulated data with multinomial logistic regression... |

htlr | Fit a HTLR Model |

htlr_fit | Fit a HTLR Model (Internal API) |

HTLR-package | Bayesian Logistic Regression with Heavy-Tailed Priors |

htlr_predict | Make Prediction on New Data (Advanced) |

htlr_prior | Generate Prior Configuration |

lasso_deltas | Lasso Initial State |

nzero_idx | Get Indices of Non-Zero Coefficients |

pipe | Pipe operator |

predict.htlrfit | Make Prediction on New Data |

split_data | Split data into train and test partitions |

summary.htlrfit | Posterior Summaries |

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