APtools: Average Positive Predictive Values (AP) for Binary Outcomes and Censored Event Times
Version 3.0

We provide tools to estimate two prediction performance metrics, the average positive predictive values (AP) as well as the well-known 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 time-dependent for pre-specified 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 cut-off values, and a plot of the time-dependent AP versus time (available for event time data).

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AuthorHengrui Cai <hengruicai@gmail.com>, Yan Yuan <yyuan@ualberta.ca>, Qian Michelle Zhou <qz70@msstate.edu>, Bingying Li<dorisli1120@gmail.com>
Date of publication2016-08-05 22:49:06
MaintainerHengrui Cai <hengruicai@gmail.com>
LicenseLGPL-3
Version3.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("APtools")

Man pages

APBinary: Estimating the AP and the AUC for Binary Outcome Data.
APSurv: Estimating the Time-dependent AP and AUC for Censored Time to...
APtools: Functions to estimate Average Positive Predictive Values (AP)...
CompareAP: Comparison of two risk scores based on the differences and...
mayo: Mayo Marker data

Functions

APBinary Man page Source code
APSurv Man page Source code
APtools Man page
APtools-package 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
APtools documentation built on May 20, 2017, 1:23 a.m.