RSM_yROC: RSM predicted ROC-ordinate as function of z
In RJafroc: Artificial Intelligence Systems and Observer Performance
RSM_yROC R Documentation
RSM predicted ROC-ordinate as function of z
Description
RSM predicted ROC-ordinate as function of z
Usage
RSM_yROC(z, mu, lambda, nu, lesDistr)
Arguments
z
The z-sample value at which to evaluate the pdf.
mu
The mu parameter (of the RSM).
lambda
The RSM lambda parameter.
nu
The RSM nu parameter.
lesDistr
The 1D lesion distribution vector.
Value
yROC, the ordinate of the ROC
Examples
lesDistr <- c(0.1,0.3,0.6)
RSM_yROC(c(-Inf,0.1,0.2,0.3), 1, 1, 0.9, lesDistr)
RJafroc documentation built on Nov. 10, 2022, 5:45 p.m.
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| RSM_yROC | R Documentation |
RSM predicted ROC-ordinate as function of z
Description
RSM predicted ROC-ordinate as function of z
Usage
RSM_yROC(z, mu, lambda, nu, lesDistr)
Arguments
z |
The z-sample value at which to evaluate the pdf. |
mu |
The mu parameter (of the RSM). |
lambda |
The RSM lambda parameter. |
nu |
The RSM nu parameter. |
lesDistr |
The 1D lesion distribution vector. |
Value
yROC, the ordinate of the ROC
Examples
lesDistr <- c(0.1,0.3,0.6) RSM_yROC(c(-Inf,0.1,0.2,0.3), 1, 1, 0.9, lesDistr)
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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