ppsr: Predictive Power Score

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>.

Version: 0.0.2
Imports: ggplot2 (≥ 3.3.3), parsnip (≥ 0.1.5), rpart (≥ 4.1.15), withr (≥ 2.4.1), gridExtra (≥ 2.3), parallel (≥ 4.0.3)
Suggests: testthat (≥ 2.0.0)
Published: 2021-03-02
Author: Paul van der Laken [aut, cre]
Maintainer: Paul van der Laken <paulvanderlaken at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ppsr results


Reference manual: ppsr.pdf


Package source: ppsr_0.0.2.tar.gz
Windows binaries: r-devel: ppsr_0.0.2.zip, r-release: ppsr_0.0.2.zip, r-oldrel: ppsr_0.0.2.zip
macOS binaries: r-release (arm64): ppsr_0.0.2.tgz, r-oldrel (arm64): ppsr_0.0.2.tgz, r-release (x86_64): ppsr_0.0.2.tgz, r-oldrel (x86_64): ppsr_0.0.2.tgz

Reverse dependencies:

Reverse suggests: dlookr


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