AUC.trinary: Calculate AUC
In rekkasA/SmoothHte: Fit smooth risk-based absolute benefit predictions
Description
Usage
Arguments
Author(s)
Description
Calculates AUC for trinary outcomes like the ones generated from matching
patients
Usage
1
AUC.trinary(xb.hat, y)
Arguments
xb.hat
A vector with the predictions
y
A vector with the observed outcomes
Author(s)
David van Klaveren
rekkasA/SmoothHte documentation built on Sept. 8, 2021, 2:40 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Author(s)
Description
Calculates AUC for trinary outcomes like the ones generated from matching patients
Usage
1 | AUC.trinary(xb.hat, y)
|
Arguments
xb.hat |
A vector with the predictions |
y |
A vector with the observed outcomes |
Author(s)
David van Klaveren
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.