FYI, folks. Apparently released only recently; I haven't done any test driving yet.
-tom johnson Inst. for Analytic Journalism Santa Fe, NM USA Video: http://www.broadinstitute.org/news-and-publications/mine-detecting-novel-associations-large-data-sets MINE: Detecting novel associations in large data sets Researchers from the Broad Institute and Harvard University are uncovering relationships in data from biology, baseball, and more using a new suite of statistical tools called MINE. Four of the paper's authors describe this new tool and its applications. Read more in a Broad press release<http://www.broadinstitute.org/news/3784>or access the tool here <http://www.exploredata.net/>. The MINE application The MINE application, which computes MIC as well as other statistics from the MINE family, can be downloaded in the following forms: - MINE.jar <http://www.exploredata.net/ftp/MINE.jar> v1.0.1: Java executable jarfile. New version as of *12/31/2011*. - MINE.r <http://www.exploredata.net/ftp/MINE.r> v1.0.1 (beta): R wrapper for MINE. New version as of *12/31/2011*. To learn how to use these files, see our usage instructions<http://www.exploredata.net/Usage-instructions> . If you'd like to be notified of new versions, please join our (low-traffic) mailing list by sending an email to [email protected] with 'subscribe' as the subject. Licensing The MINE application is copyright 2011 by David Reshef and Yakir Reshef. [image: Creative Commons License]<http://creativecommons.org/licenses/by-nc-nd/3.0/> The MINE application is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License<http://creativecommons.org/licenses/by-nc-nd/3.0/>. If you would like a license for commercial use, please contact us at [email protected].
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