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Uses a kernel smoothing approach to calculate Mutual Information for comparisons between all types of variables including continuous vs continuous, continuous vs discrete and discrete vs discrete. Uses a nonparametric bias correction giving Bias Corrected Mutual Information (BCMI). Implemented efficiently in Fortran 95 with OpenMP and suited to large genomic datasets.

Type Size Name Uploaded Downloads Labels
conda 341.7 kB | win-64/r-mpmi-0.43-r36h17ddedb_0.tar.bz2  4 years and 9 months ago 4 main
conda 336.7 kB | osx-64/r-mpmi-0.43-r36hfffe0aa_0.tar.bz2  4 years and 9 months ago 4 main
conda 336.0 kB | linux-64/r-mpmi-0.43-r36ha65eedd_0.tar.bz2  4 years and 9 months ago 4 main

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