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ppsr

Predictive Power Score

v0.0.5 · Feb 18, 2024 · GPL (>= 3)

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>.

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r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
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NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

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NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespaces in Imports field not imported from:
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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespaces in Imports field not imported from:
  ‘rpart’ ‘withr’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespaces in Imports field not imported from:
  ‘rpart’ ‘withr’
  All declared Imports should be used.

Reverse Dependencies (1)

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Dependency Network

Dependencies Reverse dependencies ggplot2 parsnip rpart withr gridExtra dlookr ppsr

Version History

new 0.0.5 Mar 10, 2026
updated 0.0.5 ← 0.0.2 diff Feb 17, 2024
new 0.0.2 Mar 1, 2021