iRF 2.0.0

The R package iRF implements iterative Random Forests, a method for iteratively growing ensemble of weighted decision trees, and detecting high-order feature interactions by analyzing feature usage on decision paths. This version uses source codes from the R package randomForest by Andy Liaw and Matthew Weiner and the original Fortran codes by Leo Breiman and Adele Cutler.

Accessing the software

To load the module:

$ module load iRF/2.0.0-iomkl-2018a-R-3.5.0
$ module load iRF/2.0.0-foss-2018a-R-3.5.0

iRF is an R library. An example command to load iRF in your R script:

$ library(iRF)

Accessing Previous Versions

Wherever possible, previous versions of this application will be retained for continuity, especially for research projects that require a consistent version of the software throughout the project. Such versions, however, may be unsupported by IT Services or the applications vendor, and may be withdrawn at short or no notice if they can no longer run on the cluster - for example, essential operating system upgrades may be incompatible with old versions.

Previous versions of this application are recorded below:

At present there are no previous versions of this application on the BlueBEAR service.

Known Problems & Limitations

None.

Other Information

The Support Level for this application is An.

Visit the iRF GitHub page for more information regarding this application.


Last modified: 14 August 2018