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Predictive Power Score

0packages dependsuggested by 1
8.2Kdownloads / year
83.4%test coverage
11/13flavors OK

Overview

About

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.

Changes in 0.0.5

Fixed the package alias breaking due to roxygen dependency

From NEWS.md in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from:
  ‘rpart’ ‘withr’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 1.3 min · r-release-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-06-09
  • ERROR10 OK, 2 NOTE, 1 ERROR2026-06-08
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.0.5
READMEYes · 1,508 wordsVignettesNoNEWSYes · 100% structured · mentions 0.0.5Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
14includes a package overview page
Examples that run
60%6 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
0%

Downloads

8.2K
CRAN downloads in the past year
Rank #8,234 · ~22/day · ~682/mo
Daily download trend is not available in this view yet.
38230 days
1.1K90 days
8.2K1 year
Compare downloads with other packages →
Also on68 r2u4 autocran

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing ppsr adds 35 packages (16 with compiled code, 30 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, isoband 1.5 MB.

Depends (0)
none
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

People & History

People (1)
Author, Maintainer since 0.0.2 (2021), Copyright holder
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.0.5Latest
    record
    2024-02-18 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.0.2
    record
    2021-03-02
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-03-02
Total releases
2 / 5 yrs
License
GPL (>= 3) OSI
Download size
358 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ppsr")
van der Laken, P. (2024). ppsr: Predictive Power Score (Version 0.0.5) [Computer software]. https://doi.org/10.32614/CRAN.package.ppsr

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ppsr version 0.0.5 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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