Compute and visualize using the 'visNetwork' package all the bivariate correlations of a dataframe. Several and different types of correlation coefficients (Pearson's r, Spearman's rho, Kendall's tau, distance correlation, maximal information coefficient and equal-freq discretization-based maximal normalized mutual information) are used according to the variable couple type (quantitative vs categorical, quantitative vs quantitative, categorical vs categorical).
|Author||Alassane Samba [aut, cre], Orange [cph]|
|Maintainer||Alassane Samba <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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