Weighted Predictiveness Curve

Documentation for package ‘WPC’ version 1.0

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