Releases: DIDSR/iMRMC
iMRMC-v2.1.0
This GitHub project contains three software packages, but only the R package is actively being developed.
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Active: iMRMC R package features an all R code backbone to perform the main MRMC study analysis and has additional U-statistics analysis procedures.
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The package is available on CRAN
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See the R package iMRMC updates
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Additional current documentation can be found from iMRMC Documentation HTML and PDF
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Frozen at v4.0.3: iMRMC java gui for multi-reader, multi-case (MRMC) sizing and analysis methods for the area under the ROC curve
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Frozen at v2p1: iRoeMetz java gui for simulating MRMC ROC studies
Java packages
Java is no longer a requirement of the iMRMC package. You may still use the doIMRMC_java function which utilizes the iMRMC java application, but this function will be defunct in future releases.
If you want to use the java function:
Make sure you have Java installed on your system. Check this by typing
java -version
into the command terminal. The version number should be at least 1.8 or higher, if you don't have the latest version of Java, update it before proceeding.
On Windows, run the .jar file by double clicking it's icon.
On Linux, run the .jar file using the following command,
java -jar iMRMC-v4.0.3.jar
java -jar iRoeMetz-v2p1.jar
iMRMC-v2.0.0
This GitHub project contains three software packages, but only the R package is actively being developed.
-
Active: iMRMC R package features an all R code backbone to perform the main MRMC study analysis and has additional U-statistics analysis procedures.
-
The package is available on CRAN
-
See the R package iMRMC updates
-
Additional current documentation can be found from iMRMC Documentation HTML and PDF
-
-
Frozen at v4.0.3: iMRMC java gui for multi-reader, multi-case (MRMC) sizing and analysis methods for the area under the ROC curve
-
Frozen at v2p1: iRoeMetz java gui for simulating MRMC ROC studies
Java packages
Java is no longer a requirement of the iMRMC package. You may still use the doIMRMC_java function which utilizes the iMRMC java application, but this function will be defunct in future releases.
If you want to use the java function:
Make sure you have Java installed on your system. Check this by typing
java -version
into the command terminal. The version number should be at least 1.8 or higher, if you don't have the latest version of Java, update it before proceeding.
On Windows, run the .jar file by double clicking it's icon.
On Linux, run the .jar file using the following command,
java -jar iMRMC-v4.0.3.jar
java -jar iRoeMetz-v2p1.jar
iMRMC-v1.2.5
This GitHub project contains three software packages, but only the R package is actively being developed.
- Active: iMRMC R package that utilizes the iMRMC java application and has additional U-statistics analysis procedures
- The package is available on CRAN
- See the R package iMRMC updates
- R package iMRMC Documentation PDF
- Additional document can be found from iMRMC Documentation HTML and PDF
- Frozen at v4.0.3: iMRMC java gui for multi-reader, multi-case (MRMC) sizing and analysis methods for the area under the ROC curve
- Frozen at v2p1: iRoeMetz java gui for simulating MRMC ROC studies
Java packages
Make sure you have Java installed on your system. Check this by typing
java -version
into the command terminal. The version number should be at least 1.8 or higher, if you don't have the latest version of Java, update it before proceeding.
On Windows, run the .jar file by double clicking it's icon.
On Linux, run the .jar file using the following command,
java -jar iMRMC-v4.0.3.jar
java -jar iRoeMetz-v2p1.jar
Current versions: iMRMC-v4.0.3, iRoeMetz-v2p1 and R package iMRMC_1.2.4
iMRMC has been updated from v4.0.0 to v4.0.3. Updates
iRoeMetz has not been updated in this release.
R package iMRMC has been updated from v1.1.0 to v1.2.4. Updates
This GitHub project contains three software packages
- iMRMC java gui for multi-reader, multi-case (MRMC) sizing and analysis methods for the area under the ROC curve
- iRoeMetz java gui for simulating MRMC ROC studies
- iMRMC R package that utilizes the iMRMC java application and has additional U-statistics analysis procedures
- The package is available on CRAN
- See the R package iMRMC updates
- R package iMRMC Documentation PDF
- Additional document can be found from iMRMC Documentation HTML and PDF
Java packages
Make sure you have Java installed on your system. Check this by typing
java -version
into the command terminal. The version number should be at least 1.7 or higher, if you don't have the latest version of Java, update it before proceeding.
On Windows, run the .jar file by double clicking it's icon.
On Linux, run the .jar file using the following command,
java -jar iMRMC-v4.0.3.jar
java -jar iRoeMetz-v2p1.jar
iMRMC-v4.0.2
This GitHub project contains three software packages
- iMRMC java gui for multi-reader, multi-case (MRMC) sizing and analysis methods for the area under the ROC curve
- iRoeMetz java gui for simulating MRMC ROC studies
- iMRMC R package that utilizes the iMRMC java application and has additional U-statistics analysis procedures
- The package is available on CRAN
- See the R package iMRMC updates
- R package iMRMC Documentation PDF
- Additional document can be found from iMRMC Documentation HTML and PDF
Java packages
Make sure you have Java installed on your system. Check this by typing
java -version
into the command terminal. The version number should be at least 1.7 or higher, if you don't have the latest version of Java, update it before proceeding.
On Windows, run the .jar file by double clicking it's icon.
On Linux, run the .jar file using the following command,
java -jar iMRMC-v4.0.2.jar
java -jar iRoeMetz-v2p1.jar
R package
We have also created an R package that executes the iMRMC java application as a command line system call. The package also has utilities to help with implementation and formatting the data. Documentation is included in the package.
11/29/2017 Added functions to analyze U-statistics of degree 1,1 (based on the identity kernel and the difference kernel).
iMRMC-v4.0.1
This GitHub project contains three software packages
- iMRMC java gui for multi-reader, multi-case (MRMC) sizing and analysis methods for the area under the ROC curve
- iRoeMetz java gui for simulating MRMC ROC studies
- iMRMC R package that utilizes the iMRMC java application and has additional U-statistics analysis procedures
- The package is available on CRAN
- See the R package iMRMC updates
- R package iMRMC Documentation PDF
- Additional document can be found from iMRMC Documentation HTML and PDF
Java packages
Make sure you have Java installed on your system. Check this by typing
java -version
into the command terminal. The version number should be at least 1.7 or higher, if you don't have the latest version of Java, update it before proceeding.
On Windows, run the .jar file by double clicking it's icon.
On Linux, run the .jar file using the following command,
java -jar iMRMC-v4.0.1.jar
java -jar iRoeMetz-v2p1.jar
R package
We have also created an R package that executes the iMRMC java application as a command line system call. The package also has utilities to help with implementation and formatting the data. Documentation is included in the package.
11/29/2017 Added functions to analyze U-statistics of degree 1,1 (based on the identity kernel and the difference kernel).
Latest versions: iMRMC-v4.0.0, iRoeMetz-v2p1, and R package iMRMC_1.1.0
This GitHub project contains three software packages
- iMRMC java gui for multi-reader, multi-case (MRMC) sizing and analysis methods for the area under the ROC curve
- iRoeMetz java gui for simulating MRMC ROC studies
- iMRMC R package that utilizes the iMRMC java application and has additional U-statistics analysis procedures
- The package is available on CRAN
- See the R package iMRMC updates
- R package iMRMC Documentation PDF
- Additional document can be found from iMRMC Documentation HTML and PDF
Java packages
Make sure you have Java installed on your system. Check this by typing
java -version
into the command terminal. The version number should be at least 1.7 or higher, if you don't have the latest version of Java, update it before proceeding.
On Windows, run the .jar file by double clicking it's icon.
On Linux, run the .jar file using the following command,
java -jar iMRMC-v4.0.0.jar
java -jar iRoeMetz-v2p1.jar
R package
We have also created an R package that executes the iMRMC java application as a command line system call. The package also has utilities to help with implementation and formatting the data. Documentation is included in the package.
11/29/2017 Added functions to analyze U-statistics of degree 1,1 (based on the identity kernel and the difference kernel).
Latest versions: iMRMC-v3p3 and iRoeMetz-v2p1
This GitHub project contains three software packages
- iMRMC java gui for multi-reader, multi-case (MRMC) sizing and analysis methods for the area under the ROC curve
- iRoeMetz java gui for simulating MRMC ROC studies
- iMRMC R package that utilizes the iMRMC java application and has additional U-statistics analysis procedures
Java packages
Make sure you have Java installed on your system. Check this by typing
java -version
into the command terminal. The version number should be at least 1.7 or higher, if you don't have the latest version of Java, update it before proceeding.
On Windows, run the .jar file by double clicking it's icon.
On Linux, run the .jar file using the following command,
java -jar iMRMC-v3p3.jar
java -jar iRoeMetz-v2p1.jar
R package
We have also created an R package that executes the iMRMC java application as a command line system call. The package also has utilities to help with implementation and formatting the data. Documentation is included in the package.
11/29/2017 Added functions to analyze U-statistics of degree 1,1 (based on the identity kernel and the difference kernel).
Latest versions: iMRMC-v3p2 and iRoeMetz-v2p1
See the iMRMC updates
See the iRoeMetz updates
You can find documentation at this link.
Documentation HTML
Documentation PDF
Go here to find sample input files.
Make sure you have Java installed on your system. Check this by typing
java -version
into the command terminal. The version number should be at least 1.7 or higher, if you don't have the latest version of Java, update it before proceeding.
On Windows, run the .jar file by double clicking it's icon.
On Linux, run the .jar file using the following command,
java -jar iMRMC-v3p2.jar
java -jar iRoeMetz-v2p1.jar
R package
We have also included an R package (source: iMRMC_0.1.0.tar.gz, binary: iMRMC_0.1.0.zip) that executes the iMRMC analysis. This is a early release that we are still developing and testing.
iMRMC-v3p1
See the iMRMC updates
You can find documentation at this link.
Documentation HTML
Documentation PDF
Go here to find sample input files.
Make sure you have Java installed on your system. Check this by typing
java -version
into the command terminal. The version number should be at least 1.7 or higher, if you don't have the latest version of Java, update it before proceeding.
On Windows, run the .jar file by double clicking it's icon.
On Linux, run the .jar file using the following command,
java -jar iMRMC-v3p1.jar