Assessment of Risk Prediction Models

Documentation for package ‘PredictABEL’ version 1.2-4

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.
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, genetic risks and disease status for a hypothetical population.