Estimating and Displaying Population Attributable Fractions

automatic_fit | Automatic fitting models for Bayesian network. |

average_paf | Calculation of average and sequential paf taking into account... |

data_clean | Clean a dataset to make modeling fitting more efficient |

Hordaland_data | Simulated case control dataset for 5000 cases (individuals... |

impact_fraction | General calculations of impact fractions |

joint_paf | Calculation of joint paf taking into account risk factor... |

PAF_calc_continuous | Calculation of attributable fraction with a continuous risk... |

PAF_calc_discrete | Calculation of attributable fraction using a categorized risk... |

plot_continuous | Plot hazard ratios, odds ratios or risk ratios comparing... |

plot.PAF_q | Plot of impact fractions against over risk-quantile... |

plot.rf.data.frame | Create a fan_plot of a rf.data.frame object |

plot.SAF_summary | Produce plots of sequential and average PAF |

predict_df_continuous | Create a data frame for predictions (when risk factor is... |

predict_df_discrete | Create a data frame for predictions (when risk factor is... |

print.PAF_q | Print out PAF_q for differing risk factors |

print.SAF_summary | Print out SAF_summary object |

ps_paf | Estimate Pathway specific population attributable fractions |

rf_summary | Create a summary data frame for risk factors |

risk_quantiles | Return the vector of risk quantiles for a continuous risk... |

seq_paf | Calculation of Sequential paf taking into account risk factor... |

stroke_reduced | Simulated case control dataset for 6856 stroke cases and 6856... |

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