UtilRSM2Intrinsic {RJafroc} | R Documentation |
Convert from physical to intrinsic RSM parameters
Description
Convert physical RSM parameters \lambda_i
' and \nu_i
' to the
intrinsic RSM parameters \lambda_i
and \nu_i
. The physical
parameters are more meaningful but they depend on \mu
. The intrinsic
parameters are independent of \mu
. See book for details.
Usage
UtilRSM2Intrinsic(mu, lambda, nu)
Arguments
mu |
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( |
lambda |
The Poisson |
nu |
The |
Details
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 UtilIntrinsic2RSM
.
Value
A list containing \lambda_i
and \nu_i
, the RSM search parameters
References
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.routledge.com/Observer-Performance-Methods-for-Diagnostic-Imaging-Foundations-Modeling/Chakraborty/p/book/9781482214840
Examples
mu <- 2;lambda <- 10;nu <- 0.9
lambda_i <- UtilRSM2Intrinsic(mu, lambda, nu)$lambda_i
nu_i <- UtilRSM2Intrinsic(mu, lambda, nu)$nu_i
## note that the physical values are only constrained to be positive, e.g., nu_i is not constrained
## to be between 0 and one.