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)
NeedsCompilation: no
Packaged: 2024-02-18 11:57:33 UTC; pvdl
Author: Paul van der Laken [aut, cre, cph]
Maintainer: Paul van der Laken <paulvanderlaken@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-18 12:30:02 UTC
Built: R 4.6.0; ; 2026-04-26 20:38:48 UTC; unix
