binormal_auc: Binormal Area Under Curve (AUC) for ROC curve
In tamytsujimoto/surveyROC: ROC curve for survey data
Description
Usage
Arguments
Value
Description
Compute the AUC for ROC curve based on binormal model
Usage
1
binormal_auc(mean0, mean1, sigma0, sigma1)
Arguments
mean0
numeric value of mean for class label 0 (healthy)
mean1
numeric value of mean for class label 1 (diseased)
sigma0
numeric value of standard deviation for class label 0 (healthy)
sigma1
numeric value of standard deviation for class label 1 (diseased)
Value
a numeric vector with same dimension as x with the binormal ROC values for specified values x
tamytsujimoto/surveyROC documentation built on Sept. 8, 2021, 11:35 p.m.
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Description Usage Arguments Value
Description
Compute the AUC for ROC curve based on binormal model
Usage
1 | binormal_auc(mean0, mean1, sigma0, sigma1)
|
Arguments
mean0 |
numeric value of mean for class label 0 (healthy) |
mean1 |
numeric value of mean for class label 1 (diseased) |
sigma0 |
numeric value of standard deviation for class label 0 (healthy) |
sigma1 |
numeric value of standard deviation for class label 1 (diseased) |
Value
a numeric vector with same dimension as x with the binormal ROC values for specified values x
R Package Documentation
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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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