Package: ez Version: 4.5-0 Date: 2026-02-07 Title: Easy Analysis and Visualization of Factorial Experiments Authors@R: c( person("Michael A.", "Lawrence", email = "mike.lwrnc@gmail.com", role = c("aut")), person("Valentin", "Koob", email = "v.koob@web.de", role = c("cre"), comment = "Maintainer only; original authorship unchanged.") ) URL: https://github.com/bucky2177/ez 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) Description: 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. License: GPL (>= 2) LazyLoad: yes ByteCompile: true Encoding: UTF-8 RoxygenNote: 7.3.3 Config/pak/sysreqs: cmake make libicu-dev Repository: https://bucky2177.r-universe.dev Date/Publication: 2026-02-16 09:58:07 UTC RemoteUrl: https://github.com/bucky2177/ez RemoteRef: HEAD RemoteSha: c2f67f92289f602f505f4f9df929d3aba44e80d5 NeedsCompilation: no Packaged: 2026-06-18 07:30:39 UTC; root Author: Michael A. Lawrence [aut], Valentin Koob [cre] (Maintainer only; original authorship unchanged.) Maintainer: Valentin Koob