add_white_noise |
Target-encoding methods |

auc_score |
Area Under the Receiver Operating Characteristic |

collinear |
Automated multicollinearity management |

cor_df |
Correlation data frame of numeric and character variables |

cor_matrix |
Correlation matrix of numeric and character variables |

cor_select |
Automated multicollinearity reduction via pairwise correlation |

cramer_v |
Bias Corrected Cramer's V |

f_gam_auc_balanced |
AUC of Logistic GAM Model |

f_gam_auc_unbalanced |
AUC of Logistic GAM Model with Weighted Cases |

f_gam_deviance |
Explained Deviance from univariate GAM model |

f_logistic_auc_balanced |
AUC of Binomial GLM with Logit Link |

f_logistic_auc_unbalanced |
AUC of Binomial GLM with Logit Link and Case Weights |

f_rf_auc_balanced |
AUC of Random Forest model of a balanced binary response |

f_rf_auc_unbalanced |
AUC of Random Forest model of an unbalanced binary response |

f_rf_deviance |
R-squared of Random Forest model |

f_rf_rsquared |
R-squared of Random Forest model |

f_rsquared |
R-squared between a response and a predictor |

identify_non_numeric_predictors |
Identify non-numeric predictors |

identify_numeric_predictors |
Identify numeric predictors |

identify_zero_variance_predictors |
Identify zero and near-zero-variance predictors |

preference_order |
Compute the preference order for predictors based on a user-defined function. |

target_encoding_lab |
Target encoding of non-numeric variables |

target_encoding_loo |
Target-encoding methods |

target_encoding_mean |
Target-encoding methods |

target_encoding_rank |
Target-encoding methods |

target_encoding_rnorm |
Target-encoding methods |

toy |
One response and four predictors with varying levels of multicollinearity |

validate_df |
Validate input data frame |

validate_predictors |
Validate the 'predictors' argument for analysis |

validate_response |
Validate the 'response' argument for target encoding of non-numeric variables |

vi |
30.000 records of responses and predictors all over the world |

vif_df |
Variance Inflation Factor |

vif_select |
Automated multicollinearity reduction via Variance Inflation Factor |

vi_predictors |
Predictor names in data frame 'vi' |