hits_from_thresholds: MRMC Hit Creator from thresholds, mean and S.D.

In BayesianFROC: FROC Analysis by Bayesian Approaches

Description

From threshold, mean and S.D., data of hit rate are created.

Usage

hits_from_thresholds(
  z.truth = BayesianFROC::z_truth,
  mu.truth = BayesianFROC::mu_truth,
  v.truth = BayesianFROC::v_truth,
  NL = 252,
  seed = 123
)

Arguments

z.truth	Vector of dimension = C represents the thresholds of bi-normal assumption.
mu.truth	array of dimension (M,Q). Mean of the signal distribution of bi-normal assumption.
v.truth	array of dimension (M,Q). Standard Deviation of represents the signal distribution of bi-normal assumption.
NL	Number of Lesions.
seed	The seed for creating data consisting of the number of hits synthesized by the binomial distributions with the specified seed.

Value

Hits Data for MRMC. The reason that hits is multiple reader and multiple modalities arise from the multiple indices of mean and S.D. of signal distribution of the bi-normal assumption.

Examples

## Not run: 
hits.rate.p <-hits_from_thresholds()



## End(Not run)#dontrun

BayesianFROC documentation built on Jan. 23, 2022, 9:06 a.m.