Easy Analysis and Visualization of Factorial Experiments R package ez version 4.5-0 CRAN Task View: ExperimentalDesign (https://CRAN.R-project.org/view=ExperimentalDesign) CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels) Facilitates easy analysis of factorial experiments, including purely within-Ss designs (a.k.a. "repeated measures"), purely between-Ss designs, and mixed within-and-between-Ss designs. The functions in this package aim to provide simple, intuitive and consistent specification of data analysis and visualization. Visualization functions also include design visualization for pre-analysis data auditing, and correlation matrix visualization. Finally, this package includes functions for non-parametric analysis, including permutation tests and bootstrap resampling. The bootstrap function obtains predictions either by cell means or by more advanced/powerful mixed effects models, yielding predictions and confidence intervals that may be easily visualized at any level of the experiment's design. Software Depends: R (>= 3.1) Imports: car (>= 2.1-3), ggplot2 (>= 3.0.0), lme4 (>= 1.1-12), MASS (>= 7.3-45), Matrix (>= 1.2-7.1), mgcv (>= 1.8-12), plyr (>= 1.8.4), reshape2 (>= 1.4.2), scales (>= 0.4.0), stringr (>= 1.1.0), rlang (>= 0.4.0) Valentin Koob <v.koob@web.de> Comprehensive R Archive Network (CRAN) Michael A. Lawrence [aut], Valentin Koob [cre] (Maintainer only; original authorship unchanged.) GPL (>= 2) 2026-02-16 application/tgz https://CRAN.R-project.org/package=ez doi:10.32614/CRAN.package.ez