Confirm_hit_rates_are_correctly_made_in_case_of_MRMC: Check whether each hit-rate is defined correctly

Description Usage Arguments Value Examples

View source: R/validation_MRMC_Create_dataList_MRMC_Hit_from_rate_etc.R

Description

Each hit rate is defined by dividing the area under the probability density function into C+1 regions. Thus, the sum of hit rates over all confidence levels must be less than 1 which is checked by this function..

This function checks the sum of all hit-rates over all confidence levels are less than 1 in case of MRMC, namely, this code confirms the following inequality:

Σ_{cd}ppp[cd,md,qd] < 1

for each cd,md ( cd =1,2,...,C, md =1,2,...,M ).

The return value is an array consisting of logical R objects indicating whether the above inequality is TRUE or FALSE.

2020 Jam

Usage

1
2
3
Confirm_hit_rates_are_correctly_made_in_case_of_MRMC(
  StanS4class.or.An.array.of.ppp
)

Arguments

StanS4class.or.An.array.of.ppp

A stanfitExtended object or an array of component of hit rate namely ppp

Value

A array with logical components. Its dimension costructed by number of readers and modalities.

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
#========================================================================================
#                               array: ppp
#========================================================================================

              p.truth.array <- hits_rate_creator()


              Confirm_hit_rates_are_correctly_made_in_case_of_MRMC(p.truth.array)

## Not run: 
#========================================================================================
#                              fitted model object
#========================================================================================

              f <- fit_Bayesian_FROC(dd,ite  = 1111)

              Confirm_hit_rates_are_correctly_made_in_case_of_MRMC(f)


## End(Not run)

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