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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 |
| Reference manual: | ppsr.pdf |
| 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 suggests: | dlookr |
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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.