![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
| WPC-package | Implement Weighted Predictiveness Curve to Visualize the Marker-by-Treatment Relationship and Measure the Performance of Biomarkers for Guiding Treatment Decision. |
| cox.wpc.est | Generate Weighted Predictiveness Curve Estimates Using Parametric Approach. |
| DuoScattorPlot | Generate Scatter Plots for Time-to-Event and Biomarkers for Two Groups |
| DuoWPCCurve | Generate Two Weighted Predictiveness Curves in Graph |
| npr.wpc.est | Generate Weighted Predictiveness Curve Estimates Using Non-Parametric Approach. |
| ns.windows | Create a Series of Overlapping Windows by Fixing Number of Patients within each Window |
| SoloScattorPlot | Generate Scatter Plots for Time-to-Event and Biomarkers for One Group |
| SoloWPCCurve | Generate Single Weighted Predictiveness Curve in Graph |
| surv.rate | Calculate Survival Rate at a Fix Time Point |
| TrioScattorPlot | Generate Scatter Plots for Time-to-Event and Biomarkers for Three Groups |
| TrioWPCCurve | Generate Three Weighted Predictiveness Curves in Graph |
| WPC | Implement Weighted Predictiveness Curve to Visualize the Marker-by-Treatment Relationship and Measure the Performance of Biomarkers for Guiding Treatment Decision. |
| wpcdata | A Data Example to Illustrate WPC Approach. |
| ww.windows | Create a Series of Overlapping Windows by Fixing Biomarker Scale Window Width |