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Convert physical RSM parameters
UtilPhysical2IntrinsicRSM(mu, lambdaP, nuP)
The mean of the Gaussian distribution for the ratings of latent LLs,
i.e. continuous ratings of lesions that were found by the search mechanism
~ N(
The Poisson physical parameter, which describes the distribution of random numbers of latent NLs (suspicious regions that do not correspond to actual lesions) per case; the mean of these random numbers asymptotically approaches lambdaP
The physical
A list containing
@usage UtilIntrinsic2PhysicalRSM (mu, lambda, nu)
RSM is the Radiological Search Model described in the book. A latent mark becomes an actual mark if the corresponding rating exceeds the lowest reporting threshold zeta1. See also UtilIntrinsic2PhysicalRSM.
Chakraborty DP (2006) A search model and figure of merit for observer data acquired according to the free-response paradigm, Phys Med Biol 51, 3449-3462.
Chakraborty DP (2006) ROC Curves predicted by a model of visual search, Phys Med Biol 51, 3463--3482.
Chakraborty DP (2017) Observer Performance Methods for Diagnostic Imaging - Foundations, Modeling, and Applications with R-Based Examples, CRC Press, Boca Raton, FL. https://www.crcpress.com/Observer-Performance-Methods-for-Diagnostic-Imaging-Foundations-Modeling/Chakraborty/p/book/9781482214840
# NOT RUN {
mu <- 2;lambdaP <- 10;nuP <- 0.9
lambda <- UtilPhysical2IntrinsicRSM(mu, lambdaP, nuP)$lambda
nu <- UtilPhysical2IntrinsicRSM(mu, lambdaP, nuP)$nu
## note that the physical values are only constrained to be positive, e.g., nu is not constrained
## to be between 0 and one.
# }
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