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pecanr  

Partial Eta-Squared for Crossed and Nested Linear Mixed Models
View on CRAN: Click here


Download and install pecanr package within the R console
Install from CRAN:
install.packages("pecanr")

Install from Github:
library("remotes")
install_github("cran/pecanr")

Install by package version:
library("remotes")
install_version("pecanr", "0.1.2")



Attach the package and use:
library("pecanr")
Maintained by
Brandon Cohen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-17
Latest Update: 2026-03-17
Description:
Computes partial eta-squared effect sizes for fixed effects in linear mixed models fitted with the 'lme4' package. Supports crossed and nested random effects structures with any number of grouping factors. Random slope variances are translated to the outcome scale using a variance decomposition approach, correctly accounting for predictor scaling and interaction terms. Both general and operative effect sizes are provided. Methods are based on Correll, Mellinger, McClelland, and Judd (2020) <doi:10.1016/j.tics.2019.12.009>, Correll, Mellinger, and Pedersen (2022) <doi:10.3758/s13428-021-01687-2>, and Rights and Sterba (2019) <doi:10.1037/met0000184>.
How to cite:
Brandon Cohen (2026). pecanr: Partial Eta-Squared for Crossed and Nested Linear Mixed Models. R package version 0.1.2, https://cran.r-project.org/web/packages/pecanr. Accessed 21 Aug. 2026.
Previous versions and publish date:
(2026-07-09 19:30), 0.1.2 (2026-03-17 19:00), 0.2.0 (2026-04-12 04:20), 0.3.0 (2026-06-23 10:50)
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Complete documentation for pecanr
Functions, R codes and Examples using the pecanr R package
Full pecanr package functions and examples
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