RSM_pdfD: RSM predicted ROC-rating pdf for diseased cases
In RJafroc: Artificial Intelligence Systems and Observer Performance
RSM_pdfD R Documentation
RSM predicted ROC-rating pdf for diseased cases
Description
RSM predicted ROC-rating pdf for diseased cases
Usage
RSM_pdfD(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 lesion distribution 1D vector.
Value
pdf
Examples
lesDistr <- c(0.5, 0.5)
RSM_pdfD(1,1,1,0.9, lesDistr)
lesDistr <- c(0.2, 0.3, 0.5)
RSM_pdfD(1,1,1,0.5, lesDistr)
RJafroc documentation built on Nov. 10, 2022, 5:45 p.m.
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| RSM_pdfD | R Documentation |
RSM predicted ROC-rating pdf for diseased cases
Description
RSM predicted ROC-rating pdf for diseased cases
Usage
RSM_pdfD(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 lesion distribution 1D vector. |
Value
Examples
lesDistr <- c(0.5, 0.5) RSM_pdfD(1,1,1,0.9, lesDistr) lesDistr <- c(0.2, 0.3, 0.5) RSM_pdfD(1,1,1,0.5, 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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