View source: R/Util2Physical.R
Util2Physical | R Documentation |
Convert intrinsic RSM parameters lambda_i
and nu_i
correspond to the physical 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.
Util2Physical(mu, lambda_i, nu_i)
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_i |
The intrinsic Poisson lambda_i parameter. |
nu_i |
The intrinsic Binomial nu_i parameter. |
RSM is the Radiological Search Model described in the book.
See also Util2Intrinsic
.
A list containing \lambda
and \nu
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_i <- 20;nu_i <- 1.1512925
lambda <- Util2Physical(mu, lambda_i, nu_i)$lambda
nu <- Util2Physical(mu, lambda_i, nu_i)$nu
## note that only the physical values are only constrained to be positive
## the physical variable nu must obey 0 <= nu <= 1
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.