UtilAucPROPROC: PROPROC AUC function
In dpc10ster/rjafroc-master: Artificial Intelligence Systems and Observer Performance
UtilAucPROPROC R Documentation
PROPROC AUC function
Description
Returns the PROPROC ROC-AUC corresponding to specified
parameters. See also UtilAnalyticalAucsRSM, UtilAucBIN
and UtilAucCBM
Usage
UtilAucPROPROC(c1, da)
Arguments
c1
The c-parameter of the PROPROC model, since c is a reserved
function in R.
da
The da-parameter of the PROPROC model.
Value
PROPROC model-predicted ROC-AUC for the specified parameters
References
Metz CE, Pan X (1999) Proper Binormal ROC Curves: Theory and Maximum-Likelihood Estimation, J Math Psychol 43(1):1-33.
Examples
c1 <- .2;da <- 1.5
UtilAucPROPROC(c1,da)
dpc10ster/rjafroc-master documentation built on June 9, 2025, 3:54 a.m.
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| UtilAucPROPROC | R Documentation |
PROPROC AUC function
Description
Returns the PROPROC ROC-AUC corresponding to specified
parameters. See also UtilAnalyticalAucsRSM, UtilAucBIN
and UtilAucCBM
Usage
UtilAucPROPROC(c1, da)
Arguments
c1 |
The c-parameter of the PROPROC model, since c is a reserved function in R. |
da |
The da-parameter of the PROPROC model. |
Value
PROPROC model-predicted ROC-AUC for the specified parameters
References
Metz CE, Pan X (1999) Proper Binormal ROC Curves: Theory and Maximum-Likelihood Estimation, J Math Psychol 43(1):1-33.
Examples
c1 <- .2;da <- 1.5
UtilAucPROPROC(c1,da)
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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