Package: ppsr 0.0.5

ppsr: Predictive Power Score

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>.

Authors:Paul van der Laken [aut, cre, cph]

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ppsr.pdf |ppsr.html✨
ppsr/json (API)
NEWS

# Install 'ppsr' in R:
install.packages('ppsr', repos = c('https://paulvanderlaken.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/paulvanderlaken/ppsr/issues

On CRAN:

10 exports 74 stars 3.65 score 43 dependencies 26 scripts 362 downloads

Last updated 7 months agofrom:8245f33568. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-winNOTESep 15 2024
R-4.5-linuxNOTESep 15 2024
R-4.4-winNOTESep 15 2024
R-4.4-macNOTESep 15 2024
R-4.3-winNOTESep 15 2024
R-4.3-macNOTESep 15 2024

Exports:available_algorithmsavailable_evaluation_metricsscorescore_correlationsscore_dfscore_matrixscore_predictorsvisualize_bothvisualize_correlationsvisualize_pps

Dependencies:clicodetoolscolorspacecpp11dplyrfansifarvergenericsggplot2globalsgluegridExtragtablehardhatisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeparsnippillarpkgconfigprettyunitspurrrR6RColorBrewerrlangrpartscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Lists all algorithms currently supportedavailable_algorithms
Lists all evaluation metrics currently supportedavailable_evaluation_metrics
Normalizes the original score compared to a naive baseline score The calculation that's being performed depends on the type of modelnormalize_score
ppsr: An R implementation of the Predictive Power Score (PPS)ppsr-package ppsr
Calculate predictive power score for x on yscore
Calculate correlation coefficients for whole dataframescore_correlations
Calculate predictive power scores for whole dataframe Iterates through the columns of the dataframe, calculating the predictive power score for every possible combination of 'x' and 'y'.score_df
Calculate predictive power score matrix Iterates through the columns of the dataset, calculating the predictive power score for every possible combination of 'x' and 'y'.score_matrix
Calculates out-of-sample model performance of a statistical modelscore_model
Calculate out-of-sample model performance of naive baseline model The calculation that's being performed depends on the type of model For regression models, the mean is used as prediction For classification, a model predicting random values and a model predicting modal values are used and the best model is taken as baseline scorescore_naive
Calculate predictive power scores for y Calculates the predictive power scores for the specified 'y' variable using every column in the dataset as 'x', including itself.score_predictors
Visualize the PPS & correlation matricesvisualize_both
Visualize the correlation matrixvisualize_correlations
Visualize the Predictive Power scores of the entire dataframe, or given a targetvisualize_pps