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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
DOI: 10.32614/CRAN.package.ppsr
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.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:

Please use the canonical form https://CRAN.R-project.org/package=ppsr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.