Package: ppsr
Type: Package
Title: Predictive Power Score
Version: 0.0.2
Authors@R: 
    person("Paul", "van der Laken", email = "paulvanderlaken@gmail.com", role = c("aut", "cre"))
Description: The PPS is an asymmetric, data-type-agnostic score that can detect 
    linear or non-linear relationships between two columns. The score ranges 
    from 0 (no predictive power) to 1 (perfect predictive power). It can be useful
    for data exploration purposes, in the same way correlation analysis is.
    For more information on PPS, see Wetschoreck (2020) <https://towardsdatascience.com/rip-correlation-introducing-the-predictive-power-score-3d90808b9598> 
    or github <https://github.com/paulvanderlaken/ppsr>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 2.0.0)
Config/testthat/edition: 3
Config/testthat/parallel: true
RoxygenNote: 7.1.1
Imports: ggplot2 (>= 3.3.3), parsnip (>= 0.1.5), rpart (>= 4.1.15),
        withr (>= 2.4.1), gridExtra (>= 2.3), parallel (>= 4.0.3)
NeedsCompilation: no
Packaged: 2021-02-27 20:14:06 UTC; Paul van der Laken
Author: Paul van der Laken [aut, cre]
Maintainer: Paul van der Laken <paulvanderlaken@gmail.com>
Repository: CRAN
Date/Publication: 2021-03-02 10:10:02 UTC
Built: R 4.1.0; ; 2021-05-27 22:22:17 UTC; unix
