R: Assessment of Risk Prediction Models

# Assessment of Risk Prediction Models

## Documentation for package ‘PredictABEL’ version 1.2-4

- DESCRIPTION file
- Package NEWS

## Help Pages

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.