GAD: GAD: Analysis of variance from general principles

This package analyses complex ANOVA models with any combination of orthogonal/nested and fixed/random factors, as described by Underwood (1997). There are two restrictions: (i) data must be balanced; (ii) fixed nested factors are not allowed. Homogeneity of variances is checked using Cochran's C test and 'a posteriori' comparisons of means are done using Student-Newman-Keuls (SNK) procedure.

Version: 1.1.1
Depends: R (≥ 2.7.0), stats, matrixStats, R.methodsS3
Published: 2012-10-29
Author: Leonardo Sandrini-Neto & Mauricio G. Camargo
Maintainer: Leonardo Sandrini-Neto <leonardosandrini at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: no
Citation: GAD citation info
In views: ExperimentalDesign
CRAN checks: GAD results

Downloads:

Reference manual: GAD.pdf
Package source: GAD_1.1.1.tar.gz
MacOS X binary: GAD_1.1.1.tgz
Windows binary: GAD_1.1.1.zip
Old sources: GAD archive