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APtools  

Average Positive Predictive Values (AP) for Binary Outcomes and Censored Event Times
View on CRAN: Click here


Download and install APtools package within the R console
Install from CRAN:
install.packages("APtools")

Install from Github:
library("remotes")
install_github("cran/APtools")

Install by package version:
library("remotes")
install_version("APtools", "6.8.8")



Attach the package and use:
library("APtools")
Maintained by
Hengrui Cai
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-23
Latest Update: 2018-09-21
Description:
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).
How to cite:
Hengrui Cai (2016). APtools: Average Positive Predictive Values (AP) for Binary Outcomes and Censored Event Times. R package version 6.8.8, https://cran.r-project.org/web/packages/APtools. Accessed 21 Nov. 2024.
Previous versions and publish date:
2.0 (2016-06-23 01:29), 3.0 (2016-08-05 22:49), 5.1 (2018-07-16 20:10)
Other packages that cited APtools R package
View APtools citation profile
Other R packages that APtools depends, imports, suggests or enhances
Complete documentation for APtools
Functions, R codes and Examples using the APtools R package
Some associated functions: APBinary . APSurv . CompareAP . mayo . 
Some associated R codes: APBinary.R . APSurv.R . CompareAP.R . sum.I.R .  Full APtools package functions and examples
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