Here is a high-level overview of the iMRMC software:
Examples of specific MRMC analyses and other FAQs are available in the iMRMC repository's Wiki.
Visit the release Page to download the software or access the repository HERE.
The documentation for both packages can be found here.
Here is a summary of updates to iMRMC and a summary of updates to iRoeMetz.
Please check out a statement of the licenses related to our software here.
Desc: The primary objective of the iMRMC application is to assist investigators with analyzing and sizing multi-reader multi-case (MRMC) reader studies that compare the difference in the area under Receiver Operating Characteristic curves (AUCs) from two modalities. The core elements of this application include the ability to perform MRMC variance analysis and the ability to size an MRMC trial.
Here are some ways to cite our work:
To cite the java code, please use this (with the appropriate version number):
To cite the R package, please use this (version number depends on whether you downloaded the code from GitHub or CRAN):
Desc: The iRoeMetz application can be used to simulate the reader scores for MRMC experiments via Monte Carlo methods given variance components of the ROC scores. The application also estimates the variance components of AUC and can calculate the variance components directly with numerical integration. The simulated experiments can be saved and used in MRMC variance analysis programs, such as iMRMC. The iRoeMetz application is a stand-alone, precompiled, license-free Java applications and the source code.
Desc: The R package iMRMC executes the iMRMC program which writes the results to the local files system, it reads the analysis results from the local file system, packs the analysis results into a list object, deletes the data and analysis results from the local file system, and returns the list object.
Here is one way to cite our work:
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Please refer to the NEWS for the complete list of members that have made this project possible.