An implementation of an efficient heuristic to compute the nonlinear correlations between numeric vectors. The heuristic works by adaptive identifying multiple local regions of linear correlations to estimate the overall nonlinear correlation. The nonlinear correlations estimate has various applications in data exploration and variable selection for nonlinear models.
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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