Pervasiveness Functions for Correlational Data R package pervasive version 1.0 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. Software Depends: R (>= 4.1.0) Imports: arules, dplyr, tibble, psych, methods, stats Suggests: knitr, rmarkdown, psychTools Denis Lajoie <denis.lajoie@umoncton.ca> Comprehensive R Archive Network (CRAN) Denis Lajoie [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=pervasive/LICENSE) 2025-11-04 application/tgz https://CRAN.R-project.org/package=pervasive doi:10.32614/CRAN.package.pervasive