pecanr: Partial Eta-Squared for Crossed, Nested, and Mixed Linear Mixed
Models
Computes partial eta-squared effect sizes for fixed effects in
linear mixed models fitted with the 'lme4' package. Supports crossed,
nested, and mixed (crossed-and-nested) random effects structures with any
number of grouping factors. Mixed designs handle cases where grouping
factors are simultaneously crossed with some variables and nested within
others (e.g., photos nested within models, but both crossed with
participants). 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>.
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[aut, cre],
Joshua Correll