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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: no
Citation: GAD citation info
In views: ExperimentalDesign
CRAN checks: GAD results


Reference manual: GAD.pdf


Package source: GAD_1.1.1.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): GAD_1.1.1.tgz, r-release (arm64): GAD_1.1.1.tgz, r-oldrel (arm64): GAD_1.1.1.tgz, r-prerel (x86_64): GAD_1.1.1.tgz, r-release (x86_64): GAD_1.1.1.tgz
Old sources: GAD archive


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