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.
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curl https://depscope.dev/api/check/conda/r-mpmiFirst published · 2020-10-20 17:31:09.800000+00:00
Last updated · 2025-09-19 16:57:02.031000+00:00