GAD: Analysis of Variance from General Principles

Analysis of 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. For those terms with no denominator in the F-ratio calculation, pooled mean squares and quasi F-ratios are provided. Magnitute of effects are assessed by components of variation.

Version: 2.0
Depends: R (≥ 3.0)
Imports: matrixStats
Published: 2024-05-01
DOI: 10.32614/CRAN.package.GAD
Author: Leonardo Sandrini-Neto ORCID iD [aut, cre], Eliandro Gilbert [aut], MaurĂ­cio Camargo ORCID iD [aut]
Maintainer: Leonardo Sandrini-Neto <leonardosandrini at>
License: GPL (≥ 3)
NeedsCompilation: no
In views: ExperimentalDesign
CRAN checks: GAD results


Reference manual: GAD.pdf


Package source: GAD_2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GAD_2.0.tgz, r-oldrel (arm64): GAD_2.0.tgz, r-release (x86_64): GAD_2.0.tgz, r-oldrel (x86_64): GAD_2.0.tgz
Old sources: GAD archive


Please use the canonical form to link to this page.