DESCRIPTION

Package: ez
Version: 4.4-0
Date: 2016-11-01
Title: Easy Analysis and Visualization of Factorial Experiments
Author: Michael A. Lawrence <mike.lwrnc@gmail.com>
Maintainer: Michael A. Lawrence <mike.lwrnc@gmail.com>
URL: http://github.com/mike-lawrence/ez
Depends:
    R (>= 3.1)
Imports:
    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