Package: ppsr
Type: Package
Title: Predictive Power Score
Version: 0.0.5
Authors@R: 
    person("Paul", "van der Laken", email = "paulvanderlaken@gmail.com", role = c("aut", "cre", "cph"))
Description: 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>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 2.0.0)
Config/testthat/edition: 3
Config/testthat/parallel: true
RoxygenNote: 7.2.3
Imports: ggplot2 (>= 3.3.3), parsnip (>= 0.1.5), rpart (>= 4.1.15),
        withr (>= 2.4.1), gridExtra (>= 2.3)
Config/pak/sysreqs: libicu-dev
Repository: https://paulvanderlaken.r-universe.dev
Date/Publication: 2024-02-18 12:45:20 UTC
RemoteUrl: https://github.com/paulvanderlaken/ppsr
RemoteRef: HEAD
RemoteSha: 8245f33568ff8854545a0e290b7d59558a9a413f
NeedsCompilation: no
Packaged: 2026-10-11 09:26:14 UTC; root
Author: Paul van der Laken [aut, cre, cph]
Maintainer: Paul van der Laken <paulvanderlaken@gmail.com>