A package for aided manual variable selection in binary logistic regression based models using marginal information value of features.

Global functions | |
---|---|

apply_binning_to_factor_feature | Source code |

auc | Source code |

bin_all | Man page Source code |

bin_factor | Source code |

bin_numeric | Man page Source code |

build_iv_table | Source code |

build_miv_tables | Source code |

calculate_all_mivs | Source code |

calculate_miv | Source code |

check_type_and_bin | Source code |

create_numeric_frequency_bins | Source code |

create_numeric_supervised_bins | Source code |

cut_vector | Source code |

dependencies | Source code |

extract_iv_summary | Source code |

gg_value_labels | Source code |

plot.binned_factor | Source code |

plot.binned_features | Source code |

plot.binned_numeric | Source code |

plotGAM | Source code |

plot_gam_feature | Source code |

predict.binned_factor | Source code |

predict.binned_features | Source code |

predict.binned_numeric | Source code |

print.binned_features | Source code |

remove_x_axis | Source code |

reorder_factor_with_largest_group_first | Source code |

replace_na | Source code |

roc_curve | Source code |

safe_log | Source code |

supervised_factor_grouping | Source code |

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