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Package: ez
Version: 4.4-0
Date: 2016-11-01
Title: Easy Analysis and Visualization of Factorial Experiments
Author: Michael A. Lawrence <>
Maintainer: Michael A. Lawrence <>
R (>= 3.1)
car (>= 2.1-3),
ggplot2 (>= 2.1.0),
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)
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