# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ez" in publications use:' type: software license: GPL-2.0-or-later title: 'ez: Easy Analysis and Visualization of Factorial Experiments' version: 4.4-0 doi: 10.32614/CRAN.package.ez abstract: 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. authors: - family-names: Lawrence given-names: Michael A. email: mike.lwrnc@gmail.com - email: mike.lwrnc@gmail.com repository: https://mike-lawrence.r-universe.dev repository-code: http://github.com/mike-lawrence/ez commit: a7bc677ea35d4cea821fda78958f360c5935144e url: http://github.com/mike-lawrence/ez date-released: '2016-11-01' contact: - family-names: Lawrence given-names: Michael A. email: mike.lwrnc@gmail.com - email: mike.lwrnc@gmail.com