We provide tools to estimate two prediction performance metrics, the average positive predictive values (AP) as well as the wellknown AUC (the area under the receiver operator characteristic curve) for risk scores or marker. The outcome of interest is either binary or censored event time. Note that for censored event time, our functions estimate the AP and the AUC are timedependent for prespecified time interval(s). A function that compares the APs of two risk scores/markers is also included. Optional outputs include positive predictive values and true positive fractions at the specified marker cutoff values, and a plot of the timedependent AP versus time (available for event time data).
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Author  Hengrui Cai <hengruicai@gmail.com>, Yan Yuan <yyuan@ualberta.ca>, Qian Michelle Zhou <qz70@msstate.edu>, Bingying Li<dorisli1120@gmail.com> 
Date of publication  20160805 22:49:06 
Maintainer  Hengrui Cai <hengruicai@gmail.com> 
License  LGPL3 
Version  3.0 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:

Functions  

APBinary  Man page Source code 
APSurv  Man page Source code 
APtools  Man page 
APtoolspackage  Man page 
CompareAP  Man page Source code 
mayo  Man page 
sum.I  Source code 
Files  

NAMESPACE
 
data
 
data/mayo.RData
 
R
 
R/sum.I.R  
R/APBinary.R  
R/APtools.R  
R/APSurv.R  
R/CompareAP.R  
MD5
 
DESCRIPTION
 
man
 
man/CompareAP.Rd  
man/APtools.Rd  
man/APSurv.Rd  
man/APBinary.Rd  
man/mayo.Rd 
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