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This is a 'C++' mutual information (MI) library based on the k-nearest neighbor (KNN) algorithm. There are three functions provided for computing MI for continuous values, mixed continuous and discrete values, and conditional MI for continuous values. They are based on algorithms by A. Kraskov, et. al. (2004) <doi:10.1103/PhysRevE.69.066138>, BC Ross (2014)<doi:10.1371/journal.pone.0087357>, and A. Tsimpiris (2012) <doi:10.1016/j.eswa.2012.05.014>, respectively.

copied from cf-post-staging / r-knnmi
Type Size Name Uploaded Downloads Labels
conda 79.3 kB | osx-64/r-knnmi-1.0-r44h384437d_0.conda  22 hours and 19 minutes ago 19 main
conda 79.0 kB | osx-64/r-knnmi-1.0-r45h384437d_0.conda  22 hours and 20 minutes ago 16 main
conda 77.4 kB | win-64/r-knnmi-1.0-r44h04bc4d6_0.conda  22 hours and 23 minutes ago 20 main
conda 77.7 kB | win-64/r-knnmi-1.0-r45h04bc4d6_0.conda  22 hours and 23 minutes ago 19 main
conda 78.8 kB | linux-64/r-knnmi-1.0-r45h3697838_0.conda  22 hours and 26 minutes ago 41 main
conda 78.9 kB | linux-64/r-knnmi-1.0-r44h3697838_0.conda  22 hours and 26 minutes ago 35 main

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