PredictABEL-package |
An R package for the analysis of (genetic) risk prediction studies. |

ExampleData |
A hypothetical dataset that is used to demonstrate all functions. |

ExampleModels |
An example code to construct a risk model using logistic regression analysis. |

fitLogRegModel |
Function to fit a logistic regression model. |

ORmultivariate |
Function to obtain multivariate odds ratios from a logistic regression model. |

ORunivariate |
Function to compute univariate ORs for genetic predictors. |

plotCalibration |
Function for calibration plot and Hosmer-Lemeshow goodness of fit test. |

plotDiscriminationBox |
Function for box plots of predicted risks separately for individuals with and without the outcome of interest. |

plotPredictivenessCurve |
Function for predictiveness curve. |

plotPriorPosteriorRisk |
Function to plot posterior risks against prior risks. |

plotRiskDistribution |
Function to plot histogram of risks separated for individuals with and without the outcome of interest. |

plotRiskscorePredrisk |
Function to plot predicted risks against risk scores. |

plotROC |
Function for a receiver operating characteristic curve (ROC) plot and area under the ROC curve (AUC) value. |

predRisk |
Function to compute predicted risks for all individuals in the dataset. |

reclassification |
Function for reclassification table and statistics. |

riskScore |
Function to compute genetic risk scores. |

simulatedDataset |
Function to construct a simulated dataset containing individual genotype data, estimated genetic risk and disease status. |