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Robust Maximum Association Between Data Sets: The R Package ccaPP
2016
Austrian Journal of Statistics
<p>An intuitive measure of association between two multivariate data sets can be defined as the maximal value that a bivariate association measure between any one-dimensional projections of each data set can attain. Rank correlation measures thereby have the advantage that they combine good robustness properties with good efficiency. The software package ccaPP provides fast implementations of such maximum association measures for the statistical computing environment R. We demonstrate how to
doi:10.17713/ajs.v45i1.90
fatcat:q5frp4fqjvg7bfqotyeoz535wu