ppsr: Predictive Power Score

The Predictive Power Score (PPS) is an asymmetric, data-type-agnostic score that can detect linear or non-linear relationships between two variables. The score ranges from 0 (no predictive power) to 1 (perfect predictive power). PPS can be useful for data exploration purposes, in the same way correlation analysis is. For more information on PPS, see <https://github.com/paulvanderlaken/ppsr>.

Version:	0.0.5
Imports:	ggplot2 (≥ 3.3.3), parsnip (≥ 0.1.5), rpart (≥ 4.1.15), withr (≥ 2.4.1), gridExtra (≥ 2.3)
Suggests:	testthat (≥ 2.0.0)
Published:	2024-02-18
Author:	Paul van der Laken [aut, cre, cph]
Maintainer:	Paul van der Laken <paulvanderlaken at gmail.com>
License:	GPL (≥ 3)
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	ppsr results

Documentation:

Reference manual:

ppsr.html , ppsr.pdf

Downloads:

Package source:	ppsr_0.0.5.tar.gz
Windows binaries:	r-devel: ppsr_0.0.5.zip, r-release: ppsr_0.0.5.zip, r-oldrel: ppsr_0.0.5.zip
macOS binaries:	r-release (arm64): ppsr_0.0.5.tgz, r-oldrel (arm64): ppsr_0.0.5.tgz, r-release (x86_64): ppsr_0.0.5.tgz, r-oldrel (x86_64): ppsr_0.0.5.tgz
Old sources:	ppsr archive

Reverse dependencies:

Reverse suggests:

dlookr

Linking:

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