APtools
Average Positive Predictive Values (AP) for Binary Outcomes and Censored Event Times
We provide tools to estimate two prediction accuracy 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. The outcome of interest is either binary or censored event time. Note that for censored event time, our functions' estimates, 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).
- Version6.8.8
- R versionunknown
- LicenseLGPL-3
- Needs compilation?No
- Last release09/21/2018
Documentation
Team
Hengrui Cai
Yan Yuan
Qian Michelle Zhou
Bingying Li
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends2 packages