pervasive: Pervasiveness Functions for Correlational Data

Analysis of pervasiveness of effects in correlational data. The Observed Proportion (or Percentage) of Concordant Pairs (OPCP) is Kendall's Tau expressed on a 0 to 1 metric instead of the traditional -1 to 1 metric to facilitate interpretation. As its name implies, it represents the proportion of concordant pairs in a sample (with an adjustment for ties). Pairs are concordant when a participant who has a larger value on a variable than another participant also has a larger value on a second variable. The OPCP is therefore an easily interpretable indicator of monotonicity. The pervasive functions are essentially wrappers for the 'arules' package by Hahsler et al. (2025)<doi:10.32614/CRAN.package.arules> and serve to count individuals who actually display the pattern(s) suggested by a regression. For more details, see the paper "Considering approaches to pervasiveness in the context of personality psychology" now accepted at the journal Personality Science.

Version:	1.0
Depends:	R (≥ 4.1.0)
Imports:	arules, dplyr, tibble, psych, methods, stats
Suggests:	knitr, rmarkdown, psychTools
Published:	2025-11-04
DOI:	10.32614/CRAN.package.pervasive (may not be active yet)
Author:	Denis Lajoie [aut, cre]
Maintainer:	Denis Lajoie <denis.lajoie at umoncton.ca>
License:	MIT + file LICENSE
NeedsCompilation:	no
CRAN checks:	pervasive results

Documentation:

Reference manual:	pervasive.html , pervasive.pdf
Vignettes:	Introduction to the pervasive package (source, R code)

Downloads:

Package source:	pervasive_1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

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