The PPS is an asymmetric, data-type-agnostic score that can detect linear or non-linear relationships between two columns. The score ranges from 0 (no predictive power) to 1 (perfect predictive power). It can be useful for data exploration purposes, in the same way correlation analysis is. For more information on PPS, see Wetschoreck (2020) <https://towardsdatascience.com/rip-correlation-introducing-the-predictive-power-score-3d90808b9598> or github <https://github.com/paulvanderlaken/ppsr>.
|Author||Paul van der Laken [aut, cre]|
|Maintainer||Paul van der Laken <email@example.com>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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