get_a_roc: Function to calculate the A binormal distribution parameter
In validmeasures/sampsizer: An Implementation of Equations for Calculating Sample Sizes for Various Estimators in R
Description
Usage
Arguments
Value
Source
Examples
Description
Function to calculate the A binormal distribution parameter
Usage
1
get_a_roc(AUC)
Arguments
AUC
Area under the ROC curve. Ranges from greater than 0.5 to 1.
Value
A numeric value of the A binormal distribution parameter
Source
Obuchowski NA. Fundamentals of clinical research for radiologists:
ROC Analysis. American Journal of Roentgenology. 2005;184.
Examples
1
get_a_roc(AUC = 0.6)
validmeasures/sampsizer documentation built on Sept. 8, 2019, 11:19 p.m.
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Description Usage Arguments Value Source Examples
Description
Function to calculate the A binormal distribution parameter
Usage
1 | get_a_roc(AUC)
|
Arguments
AUC |
Area under the ROC curve. Ranges from greater than 0.5 to 1. |
Value
A numeric value of the A binormal distribution parameter
Source
Obuchowski NA. Fundamentals of clinical research for radiologists: ROC Analysis. American Journal of Roentgenology. 2005;184.
Examples
1 | get_a_roc(AUC = 0.6)
|
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.
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