R: Power Calculations for Assessing Correlates of Risk in Clinical Efficacy Trials

# Power Calculations for Assessing Correlates of Risk in Clinical Efficacy Trials

## Documentation for package ‘CoRpower’ version 1.0.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

computeN | Estimation of Size and Numbers of Cases and Controls in the Target Population of Active Treatment Recipients At Risk at the Biomarker Sampling Timepoint
computePower | Power Calculations for Assessing Intermediate Biomarkers as Correlates of Risk in the Active Treatment Group in Clinical Efficacy Trials, Accounting for Biomarker's Measurement Error and Treatment Efficacy
plotPowerCont | Plotting of Power Curve versus Correlate of Risk Effect Size for Continuous Biomarkers
plotPowerTri | Plotting of Power versus Correlate of Risk Effect Size for Dichotomous and Trichotomous Biomarkers
plotROCcurveTri | Plotting of ROC Curves for Trichotomous Biomarkers
plotRRgradVE | Plotting of the Ratio of Relative Risks for Higher/Lower Latent Subgroups against Correlate of Risk Effect Size for Trichotomous Biomarkers
plotVElatCont | Plotting Treatment (Vaccine) Efficacy Curves for Different Correlate of Risk Relative Risks for Continuous Biomarkers