simMRMC {iMRMC} | R Documentation

## Simulate an MRMC data set ####

### Description

This program simulates observations from one set of readers scoring one set of cases. It produces one modality and one truth state of ROC data following Roe1997_Acad-Radiol_v4p298 and Roe1997_Acad-Radiol_v4p587. In order to produce an entire ROC data set, please use sim.gRoeMetz.

### Usage

    simMRMC(simMRMC.config)

### Arguments

`simMRMC.config`

[list] of simulation parameters:

- modalityID [chr] label modalityID

- readerIDs [factor] the ID of each reader

- caseIDs [factor] the ID of each case

- mu [num] mean

- var_r [num] variance of random reader effect

- var_c [num] variance of random case effect

- var_rc [num] variance of random reader by case effect

### Details

The simulation is a linear model with one fixed effect and three normally distributed independent random effects corresponding to readers, cases, and an interaction between the two.

L.rc = mu + readerEffect.r + caseEffect.c + readerXcaseEffect.rc

### Value

L [data.frame] with nC*nR rows of 4 variables

- L$modalityID [factor] determined by input modalityID

- L$readerID [factor] determined by input readerIDs

- L$caseID [factor] determined by input caseIDs

- L$score [num] R.r + C.c + RC.rc

  - r = 1,2,...,nR

  - c = 1,2,...,nC

  - R.r ~ N(0,var_r)

  - C.c ~ N(0,var_c)

  - RC.rc ~ N(0,var_rc)

[Package iMRMC version 1.2.0 ]