`Util2Intrinsic.Rd`

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.

`Util2Intrinsic(mu, lambda, nu)`

- 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(\(\mu\),1). The corresponding distribution for the ratings of latent NLs is N(0,1)

- lambda
The Poisson \(\lambda_i\) 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 lambda

- nu
The \(\nu_i\) parameter; it is the success probability of the binomial distribution describing the random number of latent LLs (suspicious regions that correspond to actual lesions) per diseased case

A list containing \(\lambda_i\) and \(\nu_i\), the RSM search parameters

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 `Util2Physical`

.

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

```
mu <- 2;lambda <- 10;nu <- 0.9
lambda_i <- Util2Intrinsic(mu, lambda, nu)$lambda_i
nu_i <- Util2Intrinsic(mu, lambda, nu)$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.
```